{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":13,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":13,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"8796b9110e4d","filters":{"venue":"London Business School Research Online (London Business School)"}},"results":[{"id":"W644090928","doi":"","title":"Strategic Modelling and Business Dynamics: A Feedback Systems Approach","year":2007,"lang":"en","type":"book","venue":"London Business School Research Online (London Business School)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":381,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Causal loop diagram; System dynamics; Process (computing); Computer science; Management science; Operations research; Industrial engineering; Engineering","authors":[{"name":"John Morecroft","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2561158976471901,"gpt":0.4090705363807551,"spread":0.1529546387335651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00174443,0.0009198796,0.0007217089,0.001308563,0.001116209,0.006593209,0.001215987,0.002389468,0.0220003],"category_scores_gemma":[0.004069917,0.000550337,0.0009747317,0.002253998,0.002859184,0.005960207,0.0017149,0.00325428,0.003530229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006037375,"about_ca_system_score_gemma":0.003701082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007579267,"about_ca_topic_score_gemma":0.004372276,"domain_scores_codex":[0.998743,0.000612138,0.00005371058,0.0001478045,0.0003486199,0.00009474628],"domain_scores_gemma":[0.9979571,0.001493911,0.00009402659,0.00009415661,0.0002481598,0.0001127001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004375146,0.00001450977,0.0001221148,0.00008911039,0.000008897982,0.00005169136,0.0003078682,0.006326393,0.00005808658,0.9645421,0.01653227,0.01194261],"study_design_scores_gemma":[0.000007603652,0.00001279334,0.000126274,0.0001586481,0.000008272425,0.00005300907,0.0003635726,0.01440405,0.00004752165,0.8394325,0.1453748,0.00001088813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006158427,0.04813652,0.2844557,0.08433961,0.003601602,0.0002015807,0.0006557828,0.0005449328,0.5719058],"genre_scores_gemma":[0.5122976,0.07273366,0.104926,0.008544479,0.004315974,0.0008468567,0.0007394549,0.0005479447,0.2950479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0220003,"threshold_uncertainty_score":0.07359838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123328467","doi":"","title":"Can Big 4 Versus Non-Big 4 Differences in Audit-Quality Proxies be Attributed to Client Characteristics?","year":2010,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Audit; Quality audit; Accrual; Matching (statistics); Equity (law); Business; Accounting; Quality (philosophy); Big Four; Big data; Computer science; Statistics; Earnings; Data mining; Mathematics","authors":[{"name":"Alastair Lawrence","is_ca":false},{"name":"Miguel Minutti‐Meza","is_ca":false},{"name":"Ping Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07077259380257993,"gpt":0.326880611936836,"spread":0.256108018134256,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01141699,0.000268499,0.0007810858,0.001239578,0.0004719619,0.001855589,0.0009003343,0.000712187,0.005370507],"category_scores_gemma":[0.05334373,0.0002066872,0.0008604886,0.001832749,0.001414642,0.001775244,0.002086803,0.001045942,0.0006756104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007866244,"about_ca_system_score_gemma":0.0008831346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003554032,"about_ca_topic_score_gemma":0.005031693,"domain_scores_codex":[0.9920537,0.003674129,0.0007073982,0.0008000787,0.00155552,0.001209163],"domain_scores_gemma":[0.9087958,0.04594963,0.03049176,0.007584327,0.002864126,0.004314394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005249889,0.0001031685,0.9842393,0.00003194805,0.000228161,0.00007748462,0.001074205,0.0002726181,0.0003557232,0.001136273,0.0003126698,0.01164337],"study_design_scores_gemma":[0.00002302409,0.0002069757,0.9930795,0.00002426262,0.00008847164,0.0001363368,0.001625043,0.001234877,0.0004903412,0.00246566,0.0006066322,0.00001881986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954101,0.0001868787,0.001586824,0.0005116414,0.00001973587,0.00003398933,0.0001757299,0.00001366081,0.002061358],"genre_scores_gemma":[0.9992359,0.00002976515,0.0001897716,0.00011513,0.00001220034,0.00001107697,0.00008793869,0.000005261764,0.00031309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141699,"threshold_uncertainty_score":0.06037951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3021660703","doi":"","title":"How do firms make money selling digital goods online","year":2014,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Revenue; Revenue model; Business; Digital content; The Internet; Advertising; Marginal revenue; Information good; Database transaction; Revenue management; Search cost; Commerce; Marketing; Microeconomics; Economics; Computer science; Finance","authors":[{"name":"Anja Lambrecht","is_ca":false},{"name":"Avi Goldfarb","is_ca":true},{"name":"Alessandro Bonatti","is_ca":false},{"name":"Anindya Ghose","is_ca":false},{"name":"Daniel G. Goldstein","is_ca":false},{"name":"Randall A. Lewis","is_ca":false},{"name":"Anita Rao","is_ca":false},{"name":"Navdeep S. Sahni","is_ca":false},{"name":"Song Yao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04125783756557153,"gpt":0.2742984516845231,"spread":0.2330406141189516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255867,0.0001800981,0.0002198733,0.0008891264,0.0007335201,0.008665673,0.0005699141,0.001554925,0.01523056],"category_scores_gemma":[0.01538778,0.000231899,0.0002767085,0.001548412,0.00127818,0.009313936,0.001233292,0.000946167,0.003294244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336429,"about_ca_system_score_gemma":0.0009225928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005856371,"about_ca_topic_score_gemma":0.007518562,"domain_scores_codex":[0.9989976,0.0002740558,0.00005478786,0.0001169143,0.000313018,0.0002436699],"domain_scores_gemma":[0.9924735,0.00329433,0.001770601,0.0006181917,0.0009503835,0.0008929006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009434362,0.0009754848,0.3033725,0.0005185175,0.0004295525,0.0006964073,0.0120865,0.003932636,0.006740217,0.191617,0.05619761,0.4224901],"study_design_scores_gemma":[0.0001475341,0.0004260097,0.4256116,0.0005232593,0.0003924309,0.0006201746,0.08045533,0.01030617,0.009756097,0.2436933,0.2278165,0.0002515894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7596734,0.001048853,0.001619225,0.008060812,0.0001722047,0.00004143958,0.0003402118,0.00008189262,0.228962],"genre_scores_gemma":[0.9915724,0.0002811852,0.0003140912,0.000307485,0.00002912852,0.000005568699,0.0001179472,0.00001973893,0.007352569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01523056,"threshold_uncertainty_score":0.0509513,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4296628158","doi":"","title":"Cooperation in R&D: Patenting, Licensing, and Contracting","year":2013,"lang":"en","type":"preprint","venue":"London Business School Research Online (London Business School)","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business","authors":[{"name":"Sudipto Bhattacharya","is_ca":false},{"name":"Claude d’Aspremont","is_ca":false},{"name":"Sergei Guriev","is_ca":false},{"name":"Debapriya Sen","is_ca":true},{"name":"Yair Tauman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1117490285493919,"gpt":0.336045344254528,"spread":0.224296315705136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009517733,0.0005643059,0.0015415,0.002815795,0.002653098,0.009543219,0.001342268,0.006703648,0.02320954],"category_scores_gemma":[0.04376088,0.0007624243,0.001006717,0.007080762,0.006430034,0.01338029,0.004291821,0.00356018,0.003019311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004009821,"about_ca_system_score_gemma":0.005772576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008936781,"about_ca_topic_score_gemma":0.005497126,"domain_scores_codex":[0.990714,0.005294455,0.0004663565,0.0009461083,0.001372995,0.001206087],"domain_scores_gemma":[0.934251,0.05048939,0.005330363,0.003849871,0.00356478,0.002514663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001153309,0.00007389516,0.004054259,0.000170453,0.00003170744,0.0001945414,0.0007559737,0.004171704,0.0002176065,0.9419016,0.01429681,0.03401597],"study_design_scores_gemma":[0.00003684334,0.00002015357,0.002460394,0.0001140715,0.00002433202,0.0001405697,0.000579626,0.003175038,0.0002326127,0.9770354,0.0161634,0.00001747103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1982544,0.03674082,0.09686981,0.1152496,0.0006893748,0.0001425869,0.001632191,0.0003387582,0.5500824],"genre_scores_gemma":[0.9515967,0.01014276,0.004437864,0.0008982334,0.0005791684,0.0000845651,0.0004036735,0.00006898482,0.03178792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02320954,"threshold_uncertainty_score":0.07764363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7074066137","doi":"","title":"The effect of evidence-based drug coverage policies on pharmaceutical R&D: a case study from British Columbia","year":2008,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Glass properties and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Per capita; Investment (military); Pharmaceutical industry; Rest (music); Politics; Pharmaceutical policy; Public expenditure; Public policy; Government (linguistics); Drug pricing","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1250466760741825,"gpt":0.3830760557352818,"spread":0.2580293796610993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002200671,0.000312595,0.0003776871,0.002169742,0.006845694,0.003478087,0.001894356,0.001523976,0.002826837],"category_scores_gemma":[0.007665214,0.0003629292,0.0003755632,0.005841478,0.001825826,0.0004849811,0.002330777,0.001744642,0.0002085283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08018103,"about_ca_system_score_gemma":0.09002977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874069,"about_ca_topic_score_gemma":0.9943262,"domain_scores_codex":[0.9957446,0.0008703498,0.0001793474,0.0001904742,0.001290081,0.001725093],"domain_scores_gemma":[0.9898739,0.003579363,0.0009097423,0.0003676626,0.003263856,0.002005475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008023991,0.001105674,0.7579831,0.001298932,0.0003551927,0.03475705,0.02035979,0.01222813,0.004516348,0.02308772,0.03492872,0.1085769],"study_design_scores_gemma":[0.0002867088,0.0004290878,0.8390104,0.0008673328,0.0003293528,0.003885189,0.07064013,0.007011277,0.002062594,0.001430109,0.07386252,0.0001853037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598424,0.002255805,0.0002162027,0.004307515,0.00001788162,0.0001259749,0.0005791018,0.00002209259,0.03263297],"genre_scores_gemma":[0.9902035,0.00161072,0.000414709,0.001153069,0.00000668167,0.00004973739,0.0002428898,0.000007560789,0.00631105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08018103,"threshold_uncertainty_score":0.5817568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7065317726","doi":"","title":"The Effect of Evidence-Based Drug Coverage Policies on Pharmaceutical R&D: A Case Study from British Columbia","year":2008,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Per capita; Investment (military); Pharmaceutical industry; Rest (music); Politics; Pharmaceutical policy; Public expenditure; Public policy","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.09636133063403328,"gpt":0.3891733601873649,"spread":0.2928120295533316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002112895,0.0003019512,0.0004013154,0.00207386,0.006661383,0.003054824,0.00190107,0.001535224,0.00256482],"category_scores_gemma":[0.008872379,0.0003871966,0.0003995062,0.005942672,0.001673022,0.0004813011,0.002307716,0.001956955,0.0001832902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06732988,"about_ca_system_score_gemma":0.07575773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864792,"about_ca_topic_score_gemma":0.9942327,"domain_scores_codex":[0.9961129,0.0008580549,0.0001843943,0.0001802654,0.001160632,0.001503688],"domain_scores_gemma":[0.9890875,0.004044796,0.001166968,0.0004009595,0.003317087,0.00198273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006773149,0.001160125,0.7929478,0.00116759,0.0003743732,0.04153856,0.02147486,0.008884142,0.003059912,0.01540419,0.02896335,0.08434772],"study_design_scores_gemma":[0.0002959931,0.0004077154,0.8520759,0.0009251784,0.0003975838,0.005794714,0.07798336,0.007112118,0.001617185,0.001214814,0.05198658,0.0001889075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707966,0.001724925,0.0001609039,0.003295179,0.0000150663,0.0001069421,0.0005534932,0.00001499548,0.02333187],"genre_scores_gemma":[0.9921409,0.001429365,0.0003675578,0.001146771,0.000006570917,0.00005386957,0.0002370829,0.000006964526,0.004610855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06732988,"threshold_uncertainty_score":0.4885147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7015731617","doi":"","title":"Two faces of decomposability in organizational search: evidence from singles vs. albums from the music industry 1995-2015","year":2023,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Surrey; York University; Università Bocconi; University of Washington; Hong Kong University of Science and Technology; Harvard Business School; University of Minnesota; Korea Advanced Institute of Science and Technology; University of Wisconsin-Madison; University of Connecticut; Ohio State University","keywords":"Set (abstract data type); Popularity; Investment (military); Imperfect; Face (sociological concept); Software; Music industry; Investment decisions; Productivity","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1281876815671093,"gpt":0.3603309947308422,"spread":0.2321433131637329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009796824,0.0003185813,0.0009049636,0.002645948,0.002198016,0.00411614,0.001835462,0.001716799,0.01512845],"category_scores_gemma":[0.06034471,0.0004153768,0.0007253665,0.00220643,0.003231981,0.004983778,0.003721579,0.001832274,0.001043816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243803,"about_ca_system_score_gemma":0.001736722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533438,"about_ca_topic_score_gemma":0.02210196,"domain_scores_codex":[0.994726,0.001841922,0.0005971925,0.0006940661,0.001431193,0.0007097181],"domain_scores_gemma":[0.8548085,0.08120281,0.04063663,0.00927791,0.005911679,0.008162428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002760186,0.001712361,0.8963951,0.000512431,0.0003169648,0.0004620695,0.0142254,0.001760524,0.0005074211,0.005343175,0.002711923,0.07329234],"study_design_scores_gemma":[0.000365395,0.001163091,0.9446186,0.0004140297,0.0001942391,0.0002238208,0.03654622,0.003718642,0.0004751446,0.007641929,0.004573488,0.0000655056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935999,0.0004942921,0.0001644814,0.0005055029,0.000005870084,0.00002793094,0.00009813816,0.000004590316,0.005099398],"genre_scores_gemma":[0.9991591,0.00009090828,0.00008027862,0.00006169856,0.000008795017,0.00001339145,0.00008704337,0.000003145935,0.0004956196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533438,"threshold_uncertainty_score":0.05181122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7020682218","doi":"","title":"The Long Economic and Political Shadow of History Volume I. A Global View","year":2017,"lang":"en","type":"book","venue":"London Business School Research Online (London Business School)","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National and Kapodistrian University of Athens; York University; Centre for Economic Policy Research; Princeton University; Bowling Green State University; Brown University","keywords":"Shadow (psychology); Politics; Volume (thermodynamics); Government (linguistics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.07058677323569286,"gpt":0.3077071395579337,"spread":0.2371203663222408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004828868,0.0006056784,0.0004964122,0.00271737,0.001502034,0.01062099,0.0004346844,0.001231672,0.06805748],"category_scores_gemma":[0.001407128,0.000275016,0.0002788255,0.004623199,0.002991868,0.007627037,0.001915468,0.003222783,0.02291537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003049375,"about_ca_system_score_gemma":0.002617573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775724,"about_ca_topic_score_gemma":0.009480334,"domain_scores_codex":[0.9996722,0.00004851121,0.000008779257,0.00004941444,0.0001856555,0.00003542291],"domain_scores_gemma":[0.9992439,0.0002977489,0.00005477801,0.0000999623,0.0001526249,0.0001510153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001287213,0.000006084343,0.0001210546,0.0001580263,0.000004626522,0.00002369011,0.0003698409,0.00009699151,0.0001466447,0.1369718,0.7969233,0.065165],"study_design_scores_gemma":[7.848845e-7,0.000001685237,0.0001896663,0.0001219591,0.000001603749,0.00002703161,0.00006518325,0.00002709166,0.00003568815,0.01513443,0.9843928,0.000002291876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001172119,0.1069108,0.00148179,0.03497273,0.01355486,0.00001793988,0.0009426319,0.0002994771,0.8406477],"genre_scores_gemma":[0.02556564,0.08150246,0.001154075,0.008337206,0.01740805,0.00003956201,0.001245071,0.0009997574,0.8637481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06805748,"threshold_uncertainty_score":0.227675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7021294807","doi":"","title":"Nowcasting Euro Area Economic Activity in Real-Time: The Role of Confidence Indicator","year":2009,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nowcasting; Exploit; Economic indicator; Real gross domestic product; Estimation; Economic forecasting; Baseline (sea); Current (fluid)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03265966457402963,"gpt":0.3184644413187013,"spread":0.2858047767446716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01213337,0.0006868204,0.000911019,0.001932567,0.0002390016,0.004469363,0.001201303,0.001892143,0.002834869],"category_scores_gemma":[0.09665239,0.0003447076,0.0004765134,0.003032322,0.0008041369,0.004274659,0.001265001,0.00368043,0.0005077778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007955529,"about_ca_system_score_gemma":0.0006774366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217257,"about_ca_topic_score_gemma":0.006525404,"domain_scores_codex":[0.9976552,0.001095771,0.0002069205,0.0005535996,0.0003466019,0.0001419746],"domain_scores_gemma":[0.92142,0.06237833,0.008346362,0.003706994,0.00324735,0.0009009938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0022624,0.0002332099,0.2600438,0.0004688864,0.0007964016,0.000503574,0.0006585419,0.4139386,0.001394867,0.08914384,0.02041966,0.2101362],"study_design_scores_gemma":[0.00007522754,0.0001599438,0.06249497,0.0001724875,0.0001510701,0.0001112974,0.0003162457,0.8852255,0.001583325,0.04238479,0.007204828,0.0001203344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7017131,0.007414144,0.2543894,0.01302672,0.003144524,0.00007491234,0.006272001,0.001177519,0.01278756],"genre_scores_gemma":[0.991753,0.0009895709,0.003990436,0.0001415897,0.0003636212,0.0000141127,0.001650434,0.00009619734,0.001000889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01217257,"threshold_uncertainty_score":0.0641681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121618205","doi":"","title":"Progress in Human Embryonic Stem Cell Research in the United States between 2001 and 2010","year":2015,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Government (linguistics); Embryonic stem cell; Federal funds; China; Political science; Pace; State (computer science); Business; Biology; Economics; Geography; Monetary policy; Law; Genetics; Gene","authors":[{"name":"Keyvan Vakili","is_ca":false},{"name":"Anita M. McGahan","is_ca":true},{"name":"Rahim Rezaie","is_ca":true},{"name":"Will Mitchell","is_ca":true},{"name":"Abdallah S. Daar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1990826371898425,"gpt":0.4345566050372152,"spread":0.2354739678473727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006660291,0.0002912801,0.0002749415,0.004283885,0.0009805079,0.004783941,0.0004615933,0.0007729973,0.003869808],"category_scores_gemma":[0.01593806,0.0003174876,0.0003248029,0.00804213,0.001009369,0.002446288,0.001671293,0.0009362841,0.001616597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006134192,"about_ca_system_score_gemma":0.01286739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04212334,"about_ca_topic_score_gemma":0.06471177,"domain_scores_codex":[0.9954984,0.0009127572,0.0005629139,0.0007213848,0.001953936,0.0003507166],"domain_scores_gemma":[0.9791986,0.005145625,0.004702594,0.0009767665,0.007694261,0.002282277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007812002,0.0002298176,0.1928357,0.001721141,0.000150314,0.0005910651,0.005046454,0.001400513,0.003639358,0.06232722,0.1460038,0.5852734],"study_design_scores_gemma":[0.00002515612,0.0001282934,0.2748412,0.0008832742,0.00006847447,0.0003201864,0.003715707,0.0002675584,0.002625404,0.001629265,0.715454,0.00004147305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4467457,0.1925963,0.003511232,0.08840983,0.004523487,0.0002065202,0.02068905,0.0005709088,0.2427471],"genre_scores_gemma":[0.7308861,0.1442757,0.01070445,0.01174282,0.001614024,0.0002005566,0.02395616,0.0001462018,0.07647391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04212334,"threshold_uncertainty_score":0.08375633,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124114369","doi":"","title":"Service Systems with Heterogeneous Customers: Investigating the Effect of Telemedicine on Chronic Care","year":2017,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University College London; University of Toronto; Yale University","keywords":"Telemedicine; Revenue; Software deployment; Business; Set (abstract data type); Welfare; Service (business); Population; Social Welfare; Medicine; Marketing; Health care; Economics; Computer science; Finance; Environmental health; Economic growth","authors":[{"name":"Balaraman Rajan","is_ca":false},{"name":"Tolga Tezcan","is_ca":false},{"name":"Abraham Seidmann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02977340458240089,"gpt":0.3215658634891864,"spread":0.2917924589067855,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006726556,0.001097096,0.001457159,0.001292031,0.001818795,0.004029853,0.002044492,0.003911997,0.009707152],"category_scores_gemma":[0.02895754,0.0007510755,0.00142865,0.001826766,0.002599072,0.004141788,0.003549126,0.003388125,0.0004084732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005926367,"about_ca_system_score_gemma":0.002700489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0289532,"about_ca_topic_score_gemma":0.01611798,"domain_scores_codex":[0.994672,0.002997982,0.0001056414,0.0003514827,0.0002587137,0.001614137],"domain_scores_gemma":[0.9535927,0.03709586,0.004868913,0.0007355462,0.001086058,0.002620917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00192582,0.003655986,0.1005736,0.0005169194,0.0007131672,0.002393434,0.002122025,0.6836375,0.003643873,0.1698747,0.00578325,0.02515965],"study_design_scores_gemma":[0.000697891,0.001735484,0.03353951,0.0001082127,0.0003858162,0.0002528816,0.006094058,0.9047973,0.0008327639,0.04982712,0.001614719,0.0001141988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748688,0.00065666,0.008456092,0.004274792,0.00006117153,0.0002287973,0.0002680852,0.00002982291,0.01115579],"genre_scores_gemma":[0.9971179,0.0002951301,0.001089322,0.0001970232,0.00006338095,0.00005667346,0.00004659707,0.000006700664,0.00112729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0289532,"threshold_uncertainty_score":0.05756932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4398749458","doi":"10.7910/dvn/ghvqgb","title":"Agricultural Comparative Advantage and Legislators' Support for Trade Agreements","year":2020,"lang":"en","type":"dataset","venue":"London Business School Research Online (London Business School)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"International trade; Comparative advantage; Agriculture; International economics; Commercial policy; Business; Economics; Biology; Ecology","authors":[{"name":"Leonardo Baccini","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08029981010866714,"gpt":0.3977886877299295,"spread":0.3174888776212623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001728642,0.001075589,0.001081794,0.005993746,0.0007097901,0.002531331,0.002349481,0.001800227,0.1006298],"category_scores_gemma":[0.01470537,0.0007349867,0.001285579,0.0116199,0.0004289604,0.001466,0.002343157,0.002195725,0.05009152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207434,"about_ca_system_score_gemma":0.003419438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05876663,"about_ca_topic_score_gemma":0.09555349,"domain_scores_codex":[0.9982734,0.000251434,0.0002666081,0.0003278485,0.0005482555,0.0003325131],"domain_scores_gemma":[0.9923867,0.002472836,0.001483993,0.0009671923,0.002091236,0.0005980446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004401477,0.00001767034,0.002608082,0.0005433856,0.00004399581,0.00001519637,0.00002916544,0.0001829898,0.00002799223,0.0010151,0.9938523,0.001620115],"study_design_scores_gemma":[0.0005405503,0.0000271079,0.03776043,0.0007837287,0.00008487452,0.00006838317,0.0002699971,0.0004453467,0.0002175541,0.001788917,0.9579611,0.00005201246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001638566,0.00004499637,0.00002328229,0.00009679707,0.00001548544,0.000006354094,0.9988091,0.0000381322,0.0008019523],"genre_scores_gemma":[0.001548792,0.00007910591,0.0001822684,0.0001062004,0.0000120826,0.000121593,0.996039,0.00004173164,0.001869197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1006298,"threshold_uncertainty_score":0.3366401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6987534589","doi":"","title":"Stigma and Legitimacy Loss: Professions, Social Judgments, and Symbols in Crime and Punishment","year":2016,"lang":"en","type":"article","venue":"London Business School Research Online (London Business School)","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Misconduct; Seriousness; Legitimacy; Conversation; Affect (linguistics); Punishment (psychology); Business ethics; White-collar crime; Apportionment","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2291416596759085,"gpt":0.4680416639364944,"spread":0.2389000042605859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009828524,0.0004185307,0.0007816312,0.002012551,0.009301567,0.01131564,0.001325514,0.003761766,0.006798304],"category_scores_gemma":[0.037898,0.0003937131,0.0007130496,0.001651249,0.04694511,0.01052106,0.01047567,0.00586422,0.0003177789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007375964,"about_ca_system_score_gemma":0.003954556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005163365,"about_ca_topic_score_gemma":0.004649596,"domain_scores_codex":[0.9858739,0.009518631,0.0003334789,0.0006639779,0.002441262,0.001168684],"domain_scores_gemma":[0.9702563,0.02144269,0.003805672,0.001303479,0.001800133,0.001391724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008174213,0.0002093449,0.01535729,0.0002210604,0.00004624129,0.0003100835,0.1400448,0.0008096841,0.0003623584,0.7924822,0.00791176,0.04216346],"study_design_scores_gemma":[0.00005965839,0.0002663132,0.0496974,0.0009986066,0.00008013954,0.0004542843,0.186203,0.001888459,0.0006716205,0.6735144,0.08601792,0.0001482583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.509073,0.0147492,0.01013143,0.192334,0.001959691,0.0001123823,0.00005459472,0.00003848632,0.2715473],"genre_scores_gemma":[0.9921708,0.001649917,0.0003769124,0.002385188,0.0002982199,0.0000353072,0.000005920192,0.00001504221,0.003062734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131564,"threshold_uncertainty_score":0.05351669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}