{"id":"W2085522836","doi":"10.5014/ajot.54.3.347","title":"From Cadavers to Computers","year":2000,"lang":"en","type":"article","venue":"American Journal of Occupational Therapy","topic":"Occupational Therapy Practice and Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Medicine; Art; Art history; Gerontology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372314,0.001159584,0.0009918531,0.00541226,0.000840772,0.004020643,0.002080328,0.002423276,0.211586],"category_scores_gemma":[0.006911257,0.0007678062,0.0007028489,0.004753255,0.001423467,0.00585211,0.002095249,0.003205924,0.1672886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595152,"about_ca_system_score_gemma":0.001905337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002940695,"about_ca_topic_score_gemma":0.005685457,"domain_scores_codex":[0.9988669,0.0001638826,0.0001187191,0.0001762591,0.0006150003,0.00005924295],"domain_scores_gemma":[0.9968239,0.0008871456,0.0001582668,0.000361095,0.001506435,0.0002631744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000198832,0.00001927059,0.00006556836,0.0006974231,0.000006227731,0.00009369046,0.00005702875,0.00006583855,0.0002141645,0.003040521,0.6339222,0.3617981],"study_design_scores_gemma":[0.000002459889,0.000008240247,0.0001141884,0.0006659944,0.000003253446,0.0003796868,0.00003613747,0.00001304639,0.00007405232,0.001104619,0.9975937,0.00000451844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0006171277,0.7069973,0.006417203,0.01679614,0.0271499,0.0001670153,0.001792465,0.001116942,0.2389459],"genre_scores_gemma":[0.003571046,0.587594,0.006083136,0.00957669,0.008795231,0.0001848773,0.002514013,0.0006359257,0.3810451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.211586,"threshold_uncertainty_score":0.7078255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1532144627812412,"score_gpt":0.5080945985544785,"score_spread":0.3548801357732372,"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."}}