{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001348994,0.00005150149,0.00008266469,0.00005749846,0.0004374259,0.00003475585,0.000167961,0.0001400781,0.002368502],"category_scores_gemma":[0.0007319769,0.00005297361,0.00003194269,0.0001205957,0.0001598854,0.0001211334,0.00001108854,0.0002734267,0.0005215149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001952006,"about_ca_system_score_gemma":0.0002703585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000935067,"about_ca_topic_score_gemma":0.002800875,"domain_scores_codex":[0.9991204,0.0002373224,0.0001153694,0.0001450659,0.0001525493,0.0002293436],"domain_scores_gemma":[0.999543,0.0001433986,0.00004748267,0.0001449215,0.00005192856,0.00006928866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009835997,0.0001131907,0.11765,0.000005785557,0.00002198123,0.000004856996,0.1802203,0.000003651422,0.01186556,0.5641909,0.01110982,0.1148041],"study_design_scores_gemma":[0.0001932062,0.00002637305,0.1488773,0.000003047812,0.00001103984,0.000006650214,0.002537228,0.00005323298,0.0001185524,0.01083987,0.837186,0.0001474439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965812,0.00001029878,0.0003778788,0.004949806,0.001837094,0.000096312,7.115652e-7,0.0001057296,0.09604093],"genre_scores_gemma":[0.9912996,0.000003357164,0.001899933,0.0005112193,0.0007592292,0.00002082193,0.000006666994,0.000006507918,0.005492671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8260762,"threshold_uncertainty_score":0.9985434,"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."}}