{"id":"W2968008310","doi":"10.22454/primer.2019.520410","title":"Technology Use to Deliver Faculty Development: A CERA Study","year":2019,"lang":"en","type":"article","venue":"PRiMER","topic":"Athletic Training and Education","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002264844,0.00008279796,0.0001223714,0.000118039,0.0002272193,0.00000508587,0.0001167046,0.0001030931,0.0007980817],"category_scores_gemma":[0.0001187685,0.0000701809,0.00001148665,0.0002151413,0.000009384114,0.00005137831,0.00009636149,0.0002527137,0.01139666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009173045,"about_ca_system_score_gemma":0.0001874416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504029,"about_ca_topic_score_gemma":0.00002697403,"domain_scores_codex":[0.9990958,0.00006446688,0.000212736,0.000217991,0.0001125171,0.0002965108],"domain_scores_gemma":[0.9994407,0.0000738462,0.00005191323,0.0002490369,0.0001126057,0.00007186462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001421965,0.0001242781,0.9338655,0.00001062101,0.00002411504,5.147703e-7,0.04347929,0.000001828711,0.0002097903,0.0001654096,0.005168773,0.01693569],"study_design_scores_gemma":[0.0003934995,0.00005500961,0.7320852,0.0000363194,0.000008324269,2.992609e-7,0.01259949,0.000003232705,0.00007090748,0.00001969885,0.2546302,0.00009780694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946734,0.0000110547,0.0001523393,0.0009463149,0.0005280789,0.0009211908,0.000001709457,0.000144121,0.002621835],"genre_scores_gemma":[0.9746472,4.112601e-7,0.006035008,0.0007604649,0.00004867503,0.0001628213,0.000009412107,0.00001503626,0.018321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494614,"threshold_uncertainty_score":0.9893731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630754522145842,"score_gpt":0.4665406556249795,"score_spread":0.3034652034103953,"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."}}