{"meta":{"query_hash":"42ce581a24b5","filters":{"venue":"Interscience Management Review"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/42ce581a24b5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Interscience+Management+Review"},"results":[{"id":"W3059298578","doi":"10.47893/imr.2008.1002","title":"IT Delivery Capabilities: Assessment and Performance Measurement of Selected Indian IT & ITeS organizations","year":2008,"lang":"en","type":"article","venue":"Interscience Management Review","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Outsourcing; Competitive advantage; Business; Position (finance); Context (archaeology); Industrial organization; Offshoring; Marketing; Finance","score_opus":0.02640029112808704,"score_gpt":0.24374181362494496,"score_spread":0.21734152249685793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3059298578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69000775,0.022345234,0.025114901,0.05456646,0.0018877711,0.00919132,0.00001719145,0.00094414223,0.19592522],"genre_scores_gemma":[0.9723972,0.018209852,0.0012413516,0.006795761,0.000079444246,0.000087325716,0.000023057883,0.000024421533,0.0011415798],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973788,0.00003704075,0.000674577,0.00053858064,0.0009565486,0.00041441977],"domain_scores_gemma":[0.9983835,0.000034422697,0.0003384933,0.000521287,0.00068769715,0.00003457592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014318073,0.00029311297,0.0004213743,0.0004537564,0.00040674245,0.00013700555,0.0005879408,0.000033085147,0.00053416885],"category_scores_gemma":[0.00018055752,0.00025928344,0.00007556114,0.0021573245,0.00027104997,0.0008357566,0.0005372392,0.00013156288,0.00013665427],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004416845,0.001203112,0.4436462,0.071352184,0.0007147236,0.00009390539,0.004484956,0.0010059585,0.00046798392,0.0075803506,0.40107825,0.068328194],"study_design_scores_gemma":[0.0009108794,0.000108325214,0.08365172,0.013671992,0.0005716818,0.00002447861,0.0031130756,0.0041171885,0.000041703246,0.000103353224,0.89254624,0.0011393835],"about_ca_topic_score_codex":0.00016234057,"about_ca_topic_score_gemma":0.00010069635,"teacher_disagreement_score":0.49146795,"about_ca_system_score_codex":0.0001639449,"about_ca_system_score_gemma":0.000056791552,"threshold_uncertainty_score":0.99998593},"labels":[],"label_agreement":null},{"id":"W3081369718","doi":"10.47893/imr.2009.1029","title":"The Interplay of Risk Management and Uncertainty: A Project Management Practice Perspective.","year":2009,"lang":"en","type":"article","venue":"Interscience Management Review","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Risk management; Project risk management; Risk analysis (engineering); Perspective (graphical); Set (abstract data type); Project management; Computer science; Risk management plan; Risk management information systems; Knowledge management; Management science; IT risk management; Project management triangle; Business; Engineering; Information system; Systems engineering; Management information systems","score_opus":0.03889144301973547,"score_gpt":0.41471182959160274,"score_spread":0.3758203865718673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081369718","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016264246,0.06577329,0.014544086,0.014043586,0.0013997073,0.006181461,0.000013819652,0.00017148779,0.89624614],"genre_scores_gemma":[0.26600742,0.6848521,0.018149959,0.0062543703,0.00008064032,0.00030805686,0.0000036323977,0.000026331589,0.024317458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.994595,0.00046748642,0.0012812127,0.001081892,0.0020402358,0.00053417863],"domain_scores_gemma":[0.9964269,0.0006251101,0.001011235,0.0014352516,0.00041015277,0.000091367125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00868254,0.00035293144,0.00048724763,0.00072117324,0.00059784687,0.00060095463,0.002243753,0.000031291533,0.00010058678],"category_scores_gemma":[0.00072609616,0.00021554824,0.00023311753,0.003101206,0.000543052,0.0009684662,0.0010761482,0.00023356933,0.00011595031],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007229639,0.00006932672,0.00015309647,0.00026797145,0.00013295708,0.000026823669,0.00043281802,0.000012841296,4.795989e-7,0.22149497,0.021471824,0.75586456],"study_design_scores_gemma":[0.00051249895,0.00020967334,0.0028665415,0.0017673947,0.0004315584,0.000034669076,0.021801908,0.0008109905,0.0000045414236,0.023255223,0.94796073,0.00034429543],"about_ca_topic_score_codex":0.00005453149,"about_ca_topic_score_gemma":0.000028000233,"teacher_disagreement_score":0.9264889,"about_ca_system_score_codex":0.00014874077,"about_ca_system_score_gemma":0.00001863265,"threshold_uncertainty_score":0.8789802},"labels":[],"label_agreement":null},{"id":"W3104142416","doi":"10.47893/imr.2011.1077","title":"Short term impact of GST on Indian Economy : with GDP as focal point","year":2011,"lang":"en","type":"article","venue":"Interscience Management Review","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Agricultural economics; Investment (military); Production (economics); Agriculture; Real gross domestic product; Monetary economics; Macroeconomics; Geography","score_opus":0.05203239876911498,"score_gpt":0.26256997898636386,"score_spread":0.2105375802172489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104142416","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1251905,0.0015161209,0.00030159132,0.00041910782,0.00012323959,0.00066913053,0.000029159351,0.00002235061,0.8717288],"genre_scores_gemma":[0.99675524,0.0012184397,0.000193306,0.0013546613,0.00002233758,0.000049522616,0.000003481054,0.000014276389,0.0003887228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984668,0.000011485004,0.00065353385,0.0004861923,0.000033128992,0.00034889707],"domain_scores_gemma":[0.9990337,0.000013208601,0.00028843485,0.0005253363,0.000012118568,0.00012719893],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006042791,0.00020526041,0.0005129297,0.0002827965,0.00005004371,0.0000443946,0.0006164821,0.000033315468,0.00083359424],"category_scores_gemma":[0.000018196548,0.00016993236,0.00023818671,0.00025265882,0.00018361335,0.00036825737,0.00013563648,0.00010524973,0.0010808235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091352806,0.00048454388,0.12813276,0.0025377274,0.00044783152,0.00006435128,0.0012853568,0.000009636231,0.0000014122154,0.81139827,0.008291609,0.04725516],"study_design_scores_gemma":[0.0019120473,0.0065336833,0.7060526,0.010289895,0.00018595671,0.00012114564,0.0006184883,0.000384792,0.00027146997,0.2066456,0.06420777,0.0027765215],"about_ca_topic_score_codex":0.00023181774,"about_ca_topic_score_gemma":0.000011614711,"teacher_disagreement_score":0.87156475,"about_ca_system_score_codex":0.00017114547,"about_ca_system_score_gemma":0.000012764234,"threshold_uncertainty_score":0.99969697},"labels":[],"label_agreement":null}]}