{"id":"W2020013755","doi":"10.1016/j.otohns.2010.04.235","title":"S113– eAGREE Training Tool","year":2010,"lang":"en","type":"article","venue":"Otolaryngology","topic":"Higher Education Teaching and Evaluation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Training (meteorology); Medical education; Psychology; Computer science; Medicine; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001873858,0.001119007,0.0009256014,0.003279406,0.0004697342,0.001331638,0.001277892,0.001407334,0.7496437],"category_scores_gemma":[0.01648585,0.0005074455,0.0006834529,0.001206208,0.0002416962,0.002397611,0.002229939,0.001193053,0.4116059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436938,"about_ca_system_score_gemma":0.0009255833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000612648,"about_ca_topic_score_gemma":0.001206071,"domain_scores_codex":[0.9989406,0.0002751228,0.0001291357,0.00007521035,0.0004535772,0.0001263507],"domain_scores_gemma":[0.9911833,0.004957863,0.0004485102,0.0006503063,0.001861448,0.0008985822],"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":[0.0003094272,0.0002845781,0.0004755528,0.000258525,0.000006081456,0.0001021776,0.00005119154,0.00007807244,0.000287716,0.0003867672,0.8362926,0.1614675],"study_design_scores_gemma":[0.0003971994,0.0002828867,0.004496613,0.0004903724,0.00001142111,0.0003358181,0.0001148543,0.0006932786,0.001360108,0.00148322,0.9902647,0.00006959903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.02062839,0.0009055978,0.03370159,0.006591475,0.005059948,0.007345002,0.1115826,0.1166559,0.6975294],"genre_scores_gemma":[0.04275815,0.0009499727,0.04583896,0.003499465,0.001478261,0.006880112,0.06192305,0.01305393,0.8236181],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7496437,"threshold_uncertainty_score":0.3571028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344850635724953,"score_gpt":0.3646029494859123,"score_spread":0.3211544431286628,"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."}}