{"id":"W3093950283","doi":"10.1080/1097198x.2020.1834069","title":"Professor Edgar H. Sibley: A Tribute and A Scientometric Profile","year":2020,"lang":"en","type":"article","venue":"Journal of Global Information Technology Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Tribute; Field (mathematics); Art; Management; Art history; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373345,0.0001358161,0.0002143278,0.000986704,0.0001183334,0.0002971251,0.0005163558,0.00008374917,0.00007495659],"category_scores_gemma":[0.0002280574,0.000110979,0.00004640918,0.005108126,0.0001031611,0.003942646,0.0005302096,0.000168694,0.0002906511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000603043,"about_ca_system_score_gemma":0.00002225626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004209523,"about_ca_topic_score_gemma":0.000001072608,"domain_scores_codex":[0.9987001,0.000003736605,0.0005854264,0.0001073802,0.0003801016,0.0002232241],"domain_scores_gemma":[0.9986584,0.000005556746,0.0007268761,0.0001361656,0.0004487659,0.00002429458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000265933,0.0001416267,0.02597185,0.00140552,0.0002070084,0.00004410403,0.00005579369,0.00006527147,0.000023098,0.313787,0.1926298,0.465403],"study_design_scores_gemma":[0.001405351,0.000121598,0.01984594,0.000151697,0.000170596,0.00005457473,0.00137927,0.003830803,0.0001212039,0.00839703,0.9642156,0.0003063846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5009327,0.001414192,0.1981165,0.2173763,0.003047595,0.002770975,0.00008643833,0.0009227796,0.07533259],"genre_scores_gemma":[0.9909518,0.0001433568,0.003757137,0.00479436,0.0002490701,0.00001425334,0.0000176951,0.000006257453,0.00006605219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7715857,"threshold_uncertainty_score":0.4525591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362867065021323,"score_gpt":0.2819878665616786,"score_spread":0.2483591959114653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}