{"id":"W2097082745","doi":"10.1109/picmet.1999.808098","title":"Knowledge network of contemporary interdisciplinary study of organization and technology: from bibliometrics to epistemology","year":2003,"lang":"en","type":"article","venue":"","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bibliometrics; Context (archaeology); Field (mathematics); Knowledge management; Subject (documents); Domain (mathematical analysis); Sociology; Outcome (game theory); Engineering ethics; Epistemology; Management science; Computer science; Engineering; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005032485,0.0002435631,0.0008939834,0.07110494,0.001308742,0.006903936,0.0008774114,0.0008956745,0.007539248],"category_scores_gemma":[0.05222435,0.0002003719,0.0002808063,0.1112378,0.002217333,0.008786174,0.002765396,0.0004937485,0.0007391185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471885,"about_ca_system_score_gemma":0.002128136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660636,"about_ca_topic_score_gemma":0.003091246,"domain_scores_codex":[0.9929996,0.002317131,0.0008355345,0.0006092857,0.003078456,0.0001600517],"domain_scores_gemma":[0.9253644,0.05479154,0.008411784,0.003890407,0.006369812,0.001172006],"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":[0.0000805045,0.00008691771,0.3040055,0.004236585,0.0003951479,0.0002372266,0.006492835,0.002847929,0.0004567188,0.1026374,0.02468073,0.5538427],"study_design_scores_gemma":[0.00002018069,0.00007572535,0.5667567,0.003710345,0.0004211765,0.001349416,0.0188157,0.01044727,0.001377416,0.1773156,0.2195846,0.000125896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399817,0.1450288,0.03940132,0.018912,0.0008844303,0.0001895735,0.02090219,0.0005010789,0.2341989],"genre_scores_gemma":[0.9497255,0.03531506,0.006992892,0.0002441231,0.0006332055,0.0001896805,0.004775908,0.0000621928,0.002061492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9288951,"threshold_uncertainty_score":0.02661461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507373180136501,"score_gpt":0.260684868587617,"score_spread":0.225611136786252,"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."}}