{"id":"W4243097398","doi":"10.1108/prog.2002.28036cab.005","title":"University of Toronto selects Endeavor's ENCompass","year":2002,"lang":"en","type":"article","venue":"Program electronic library and information systems","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sociology; Media studies; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004092526,0.00007803103,0.0001568691,0.00002798778,0.0000572467,0.00003947672,0.00005530498,0.00004353547,0.0003409818],"category_scores_gemma":[0.00000147542,0.00007041862,0.00004257241,0.00009106637,0.00002372118,0.005095205,0.00002807271,0.00008919741,0.00001199752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003669113,"about_ca_system_score_gemma":0.00003586444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00014264,"about_ca_topic_score_gemma":0.000002068087,"domain_scores_codex":[0.9994182,0.00002534542,0.0001805889,0.00006442034,0.0001174677,0.0001939828],"domain_scores_gemma":[0.9996812,0.00001305627,0.00009285627,0.0001134899,0.00001628675,0.00008312667],"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":[0.0008537847,0.0008845718,0.01969035,0.002459316,0.0005774606,0.0000198028,0.006462327,0.00001895928,0.000335809,0.3335513,0.02983704,0.6053092],"study_design_scores_gemma":[0.001156412,0.001115366,0.0015106,0.00005869454,0.00003981541,0.0001343445,0.0008182304,0.008833051,0.0003595072,0.00001292162,0.9858519,0.0001091301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4055285,0.03159682,0.0003020265,0.002861897,0.0002828423,0.002962017,0.00003013353,0.0008145737,0.5556211],"genre_scores_gemma":[0.997053,0.002080024,0.000104918,0.0002465819,0.00004093234,0.000005720527,0.0000669611,0.00000430321,0.0003975927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9560149,"threshold_uncertainty_score":0.3733511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00631523137154381,"score_gpt":0.1872276166812768,"score_spread":0.180912385309733,"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."}}