{"meta":{"query_hash":"03e28e9b2eac","filters":{"venue":"Proceedings of the 2011 iConference"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/03e28e9b2eac","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+2011+iConference"},"results":[{"id":"W1985830835","doi":"10.1145/1940761.1940854","title":"Online synchronous interviewing of the info-savvy","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Interview; Sample (material); Computer science; The Internet; World Wide Web; Qualitative research; Chat room; Multimedia; Sociology","score_opus":0.16645034591545285,"score_gpt":0.36375824285950087,"score_spread":0.19730789694404802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985830835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9171461,0.00009335036,0.024358006,0.0015474124,0.00013058427,0.0010762225,0.0004970185,0.00026180357,0.054889496],"genre_scores_gemma":[0.9545253,0.000107232154,0.0152042,0.0005059218,0.00003885277,0.0008759027,0.00023506644,0.00012670559,0.028380806],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9974025,0.0019249686,0.000074617536,0.00019907347,0.00020184467,0.00019689722],"domain_scores_gemma":[0.99214137,0.0051744813,0.0003423953,0.00058835594,0.0008178267,0.00093556364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042375047,0.00033277491,0.00024707097,0.0010140568,0.0033048403,0.0019638313,0.0004778753,0.00090005767,0.008337576],"category_scores_gemma":[0.010343399,0.00020504951,0.00018697606,0.0007568633,0.0014564778,0.001499807,0.0022804597,0.0011452324,0.0017611729],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015249479,0.00029794764,0.007340053,0.00013272573,0.0000042484876,0.001314882,0.9252101,0.00010775656,0.0145718325,0.003440153,0.0042392258,0.043188546],"study_design_scores_gemma":[0.000053689677,0.0008698416,0.02086967,0.0002724589,0.000014947068,0.0012426098,0.7032222,0.002500016,0.010182775,0.0033844511,0.2573142,0.00007313761],"about_ca_topic_score_codex":0.0015241505,"about_ca_topic_score_gemma":0.0048907613,"teacher_disagreement_score":0.008337576,"about_ca_system_score_codex":0.0008749819,"about_ca_system_score_gemma":0.0014143357,"threshold_uncertainty_score":0.027891994},"labels":[],"label_agreement":null},{"id":"W1999263477","doi":"10.1145/1940761.1940893","title":"Internet utilization in decision making among emergent knowledge workers","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"The Internet; Work (physics); Knowledge management; Process (computing); Decision-making; Computer science; Psychology; Business; World Wide Web; Marketing; Engineering","score_opus":0.09573556204416019,"score_gpt":0.3329468488065981,"score_spread":0.2372112867624379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999263477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998623,0.000039116552,0.000103076374,0.00004490401,0.0000024141825,0.0000075601274,0.000006914728,0.0000015708998,0.0011715521],"genre_scores_gemma":[0.9994824,0.00004515243,0.000116467694,0.000015762127,0.0000027472356,0.000005097633,0.000010884444,0.0000012059816,0.00032027136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874425,0.000626905,0.00008400938,0.0000896355,0.00023945239,0.00021567853],"domain_scores_gemma":[0.9888182,0.0076047615,0.0015022352,0.00028787076,0.00059566286,0.00119129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019101923,0.00017055146,0.00017885206,0.0010889071,0.00088287925,0.0029725684,0.00033722352,0.00051885215,0.0026733696],"category_scores_gemma":[0.012757577,0.00017281923,0.00023913104,0.00051672914,0.00072823046,0.0007517483,0.0009400169,0.0008076817,0.00021908854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031485144,0.0021661203,0.8741759,0.00009173243,0.00006105955,0.001156566,0.06602698,0.00048621555,0.0019889954,0.00090931664,0.00028132938,0.052340865],"study_design_scores_gemma":[0.00010988652,0.0013105096,0.73022217,0.00017156855,0.00010112684,0.0014302788,0.24865076,0.0051709386,0.002783143,0.002703479,0.0072672,0.00007901141],"about_ca_topic_score_codex":0.0026552998,"about_ca_topic_score_gemma":0.0033250295,"teacher_disagreement_score":0.0029725684,"about_ca_system_score_codex":0.00055894564,"about_ca_system_score_gemma":0.00092185783,"threshold_uncertainty_score":0.010102212},"labels":[],"label_agreement":null},{"id":"W1999688040","doi":"10.1145/1940761.1940864","title":"Digging into Digg","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Digging; Computer science; Domain (mathematical analysis); Data science; Work (physics); Multimedia; World Wide Web; Human–computer interaction; Information retrieval; Engineering","score_opus":0.05148322709674232,"score_gpt":0.23340941739675525,"score_spread":0.18192619030001292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999688040","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03973855,0.0035231342,0.09839708,0.010301161,0.0025360337,0.0002040696,0.0030375863,0.0052054026,0.83705693],"genre_scores_gemma":[0.354295,0.0048090327,0.08258328,0.0051859817,0.0006973406,0.00020010727,0.0070306524,0.0032459234,0.5419527],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992792,0.00021616521,0.00003903534,0.00016548343,0.0001844403,0.000115730836],"domain_scores_gemma":[0.99755424,0.0007456497,0.000118368516,0.00077771983,0.000466641,0.0003374318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095856894,0.0007453269,0.00043592489,0.003080444,0.0024951333,0.0062829405,0.0009107617,0.0016220285,0.080584645],"category_scores_gemma":[0.007191595,0.00031512944,0.00037223208,0.003759296,0.0021595736,0.010220157,0.0043562893,0.0014212121,0.026806029],"study_design_candidate":"observational","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":[0.00024881115,0.000060372095,0.0045107557,0.0003656046,0.00002281945,0.0009893217,0.00973577,0.00086691626,0.002526066,0.34497207,0.19277206,0.4429294],"study_design_scores_gemma":[0.000011417598,0.0000480144,0.0012880084,0.00028984845,0.000013368614,0.0006519585,0.0049639037,0.0014634659,0.0009186565,0.09493324,0.89539057,0.000027558523],"about_ca_topic_score_codex":0.0023505029,"about_ca_topic_score_gemma":0.004894327,"teacher_disagreement_score":0.080584645,"about_ca_system_score_codex":0.0009434494,"about_ca_system_score_gemma":0.001045123,"threshold_uncertainty_score":0.2695825},"labels":[],"label_agreement":null},{"id":"W2030182801","doi":"10.1145/1940761.1940840","title":"Exploring technology through the design lens","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Documentation; Computer science; Lens (geology); Human–computer interaction; Knowledge management; Engineering management; Engineering","score_opus":0.3286056903678892,"score_gpt":0.26954917445615595,"score_spread":0.059056515911733276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030182801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07712637,0.022800336,0.44875896,0.029963788,0.001274702,0.00032449877,0.0002617133,0.00059236796,0.4188973],"genre_scores_gemma":[0.7520267,0.012706216,0.1809526,0.0035782987,0.000546889,0.0007595184,0.00017272272,0.0004671539,0.0487899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98884284,0.008943513,0.00022798897,0.00065634877,0.00092977146,0.00039954303],"domain_scores_gemma":[0.99458635,0.0038788163,0.00028288952,0.0005921174,0.0003027988,0.0003570296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007156183,0.0017129512,0.0006512263,0.0054343273,0.0061154095,0.021391744,0.0016116919,0.0031367035,0.0066265767],"category_scores_gemma":[0.0053146197,0.0007512684,0.0009510462,0.0025764205,0.038407493,0.015058929,0.009010749,0.0044164592,0.0010093484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003869965,0.000052441836,0.0010703445,0.00046003607,0.000031087857,0.0006616503,0.12674515,0.0007230671,0.0031858126,0.8403303,0.003034626,0.023666784],"study_design_scores_gemma":[0.00006910485,0.00015193608,0.0008070739,0.0010490981,0.00005735531,0.0019587374,0.098207094,0.0020172559,0.002268187,0.26975015,0.62360764,0.000056450644],"about_ca_topic_score_codex":0.004170977,"about_ca_topic_score_gemma":0.004373383,"teacher_disagreement_score":0.021391744,"about_ca_system_score_codex":0.0063504805,"about_ca_system_score_gemma":0.005111098,"threshold_uncertainty_score":0.04607624},"labels":[],"label_agreement":null},{"id":"W2030345172","doi":"10.1145/1940761.1940886","title":"Information design in/as serious leisure","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Digital Games and Media","field":"Social Sciences","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":"University of British Columbia","funders":"","keywords":"Context (archaeology); Computer science; Information design; Internet privacy; World Wide Web; Human–computer interaction; Geography","score_opus":0.042569758367752245,"score_gpt":0.2536523099204454,"score_spread":0.21108255155269318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030345172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046913672,0.0070085926,0.19622804,0.031191496,0.0008789901,0.00039338192,0.0002248904,0.00071462314,0.7164463],"genre_scores_gemma":[0.8290767,0.0038113943,0.06859855,0.0029405793,0.00050881534,0.00042212734,0.00026397544,0.0003799014,0.093997866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9845567,0.011800237,0.0005812831,0.00086799514,0.0013819708,0.0008118061],"domain_scores_gemma":[0.9878582,0.006457038,0.0006104557,0.0026157068,0.00092675746,0.0015318589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009278418,0.0006963485,0.00043968175,0.0025940915,0.0045941863,0.02184655,0.0015041169,0.0032276239,0.020612892],"category_scores_gemma":[0.012994846,0.0005207505,0.00062124565,0.0025659758,0.019047068,0.01836447,0.007879282,0.002460033,0.0028301051],"study_design_candidate":"qualitative","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":[0.000057442547,0.00008188702,0.000970217,0.00039169297,0.00001602647,0.00014361671,0.028090855,0.00032708075,0.00063461124,0.91142213,0.0072550434,0.05060932],"study_design_scores_gemma":[0.000038197537,0.00010343771,0.0006843773,0.00056818034,0.000019387646,0.00055355055,0.02022104,0.0012225541,0.0014049006,0.46215174,0.51299727,0.000035431134],"about_ca_topic_score_codex":0.0023233858,"about_ca_topic_score_gemma":0.0020291584,"teacher_disagreement_score":0.02184655,"about_ca_system_score_codex":0.00341763,"about_ca_system_score_gemma":0.0039007787,"threshold_uncertainty_score":0.06895703},"labels":[],"label_agreement":null},{"id":"W2032835506","doi":"10.1145/1940761.1940851","title":"Learning from YouTube","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Meaning (existential); Computer science; Dialogic; Globe; World Wide Web; Multimedia; Work (physics); Literacy; Psychology; Pedagogy","score_opus":0.07452288918438073,"score_gpt":0.20465325225344413,"score_spread":0.1301303630690634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032835506","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051709097,0.007395788,0.013600408,0.015023666,0.005156338,0.0020630073,0.30541745,0.026857967,0.5727763],"genre_scores_gemma":[0.15723106,0.009848815,0.028463822,0.0064555774,0.0023140449,0.002872272,0.46876958,0.005630035,0.31841493],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9994293,0.00010935393,0.000048972193,0.00007698921,0.00023475019,0.00010063709],"domain_scores_gemma":[0.99844486,0.0003653385,0.000084550506,0.00022370764,0.0005778612,0.0003037035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006198026,0.00070712424,0.000522186,0.0032710773,0.001975105,0.0017923409,0.00070880656,0.00090738194,0.062124133],"category_scores_gemma":[0.004383606,0.00014186569,0.0003040939,0.004518696,0.00029217592,0.003125141,0.0021369774,0.0008685055,0.02674511],"study_design_candidate":"qualitative","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":[0.00009132839,0.00003211044,0.0016489347,0.0004059266,0.000015345742,0.00037066868,0.0007009556,0.00016986082,0.00061133894,0.0016398017,0.9127521,0.081561625],"study_design_scores_gemma":[0.000030081477,0.000053182946,0.006989524,0.000344756,0.0000115572875,0.00018472115,0.002057062,0.0020790535,0.0010004118,0.0039805854,0.98321414,0.00005499689],"about_ca_topic_score_codex":0.024277322,"about_ca_topic_score_gemma":0.07902175,"teacher_disagreement_score":0.062124133,"about_ca_system_score_codex":0.0009287188,"about_ca_system_score_gemma":0.0012314387,"threshold_uncertainty_score":0.20782596},"labels":[],"label_agreement":null},{"id":"W2093775807","doi":"10.1145/1940761.1940836","title":"Notes toward a politics of personalization","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Personalization; Recommender system; World Wide Web; Domain (mathematical analysis); Computer science; Resource (disambiguation); Control (management); Knowledge management; Politics; Web 2.0; Internet privacy; The Internet; Political science; Artificial intelligence","score_opus":0.054732911078555296,"score_gpt":0.22428108720301568,"score_spread":0.16954817612446038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093775807","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010215901,0.015623923,0.037992414,0.4136331,0.0024750722,0.000053495976,0.00019626456,0.00019204548,0.5196177],"genre_scores_gemma":[0.72020996,0.009374291,0.0244679,0.08036859,0.011292762,0.0003592397,0.0001656188,0.00056335604,0.15319832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9930322,0.00305408,0.00019337238,0.0019897448,0.0012823764,0.00044808898],"domain_scores_gemma":[0.9923105,0.004310338,0.00038847813,0.0016445075,0.0008354916,0.0005106563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008929532,0.00055395195,0.0005928797,0.001777173,0.0065906118,0.0105155185,0.001371876,0.008451199,0.010173455],"category_scores_gemma":[0.009911821,0.00043692,0.00058247434,0.0018592073,0.042435266,0.018558362,0.005912428,0.016356217,0.002572163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072139137,0.000005205823,0.000055830333,0.000007524634,0.0000018698277,0.000010985637,0.00083865586,0.00004972173,0.000024492512,0.9906623,0.0060100653,0.0023261907],"study_design_scores_gemma":[0.0000158758,0.00001011539,0.00022488626,0.00006600996,0.0000043784876,0.00005612995,0.0005495833,0.0003480201,0.00013101197,0.80021054,0.19836882,0.000014635169],"about_ca_topic_score_codex":0.0049226345,"about_ca_topic_score_gemma":0.0032446445,"teacher_disagreement_score":0.0105155185,"about_ca_system_score_codex":0.007067642,"about_ca_system_score_gemma":0.0019594522,"threshold_uncertainty_score":0.051279545},"labels":[],"label_agreement":null},{"id":"W2094850824","doi":"10.1145/1940761.1940855","title":"Reading in First Nations and the on-demand book service","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bridge (graph theory); Service (business); Reading (process); Sense of place; Thunder; Public relations; Community engagement; Library science; Engineering; Sociology; Political science; Computer science; Business; Marketing; Social science; Law","score_opus":0.02350352037570564,"score_gpt":0.1912285331505707,"score_spread":0.16772501277486507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094850824","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3769366,0.0024542226,0.00061566575,0.032641713,0.00033828226,0.00007824506,0.00015247721,0.000058628942,0.58672416],"genre_scores_gemma":[0.89780635,0.0019502883,0.0007655578,0.0023556398,0.00006316614,0.000047992715,0.0001416936,0.00006002546,0.09680935],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.997401,0.0012686214,0.00005971745,0.0001433635,0.00048396472,0.00064344367],"domain_scores_gemma":[0.99562585,0.001590353,0.00031539088,0.00016451092,0.00047431604,0.0018296133],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018594203,0.00021598072,0.0001857822,0.00076495396,0.009369056,0.008215495,0.0007176922,0.0016215345,0.027444234],"category_scores_gemma":[0.004000474,0.00018052786,0.00014689557,0.0018865706,0.0047496157,0.004366879,0.005230848,0.0025325709,0.0012480702],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010951548,0.00033168856,0.026530888,0.00052401953,0.000013323521,0.0044541364,0.6159478,0.00015525082,0.0018793532,0.13544887,0.09338659,0.1212186],"study_design_scores_gemma":[0.00000813464,0.00006935637,0.017539913,0.00019714501,0.0000035718679,0.0006388114,0.47929528,0.000092280505,0.00029048222,0.001926092,0.49991512,0.000023738183],"about_ca_topic_score_codex":0.105896056,"about_ca_topic_score_gemma":0.28845882,"teacher_disagreement_score":0.9917845,"about_ca_system_score_codex":0.008075716,"about_ca_system_score_gemma":0.007415154,"threshold_uncertainty_score":0.21055937},"labels":[],"label_agreement":null},{"id":"W2123276999","doi":"10.1145/1940761.1940841","title":"Multi-lifespan information system design","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Grassroots; Tribunal; Work (physics); Set (abstract data type); Field (mathematics); Computer science; Reuse; Information system; Public relations; Sociology; Knowledge management; Data science; Political science; Engineering","score_opus":0.07968150594192651,"score_gpt":0.2432046878971915,"score_spread":0.163523181955265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123276999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039016567,0.0005339716,0.9424446,0.0009915228,0.0001278866,0.001526268,0.00028687026,0.0014685537,0.013603808],"genre_scores_gemma":[0.26687956,0.00032172634,0.72273904,0.00028443433,0.00003266381,0.002619425,0.000454822,0.00024454558,0.006423767],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98817,0.007681012,0.0009971395,0.0013554986,0.0014163717,0.00037989605],"domain_scores_gemma":[0.98517483,0.007511905,0.0009084657,0.0030614464,0.002380029,0.00096337195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013208315,0.0006197111,0.00045738963,0.0019194641,0.0013995477,0.004062234,0.0017745941,0.0014989161,0.0078046997],"category_scores_gemma":[0.018249108,0.00085269177,0.00073154137,0.0010203734,0.0015150532,0.0077823508,0.0042425217,0.0013126801,0.0013464963],"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":[0.0008622744,0.0010854874,0.021179749,0.0033639355,0.00035566872,0.0013193628,0.035155308,0.025396252,0.03232406,0.32690045,0.01055443,0.54150295],"study_design_scores_gemma":[0.00059441244,0.0038431503,0.00938073,0.0012786206,0.0005037963,0.0034482956,0.012660677,0.23119959,0.028119436,0.20640835,0.50228214,0.0002807961],"about_ca_topic_score_codex":0.00076736405,"about_ca_topic_score_gemma":0.0010428315,"teacher_disagreement_score":0.013208315,"about_ca_system_score_codex":0.0018054456,"about_ca_system_score_gemma":0.0021289862,"threshold_uncertainty_score":0.06985307},"labels":[],"label_agreement":null}]}