{"id":"W4317863115","doi":"10.46747/cfp.6901e21","title":"Assessing students and residents","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut du Savoir Montfort","funders":"","keywords":"Process (computing); Computer science; Medical education; Core (optical fiber); Data science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003791118,0.00009878663,0.0001218214,0.000209444,0.0008773561,0.0006564845,0.0003288476,0.00006111688,0.000004900226],"category_scores_gemma":[0.0000187637,0.0001139149,0.00003394487,0.0006859198,0.0001416489,0.0004551957,0.00005332967,0.00009382745,0.000384636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040122,"about_ca_system_score_gemma":0.0003632632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07588345,"about_ca_topic_score_gemma":0.07522183,"domain_scores_codex":[0.9985711,0.00008155919,0.0001055459,0.0002269905,0.0004705113,0.0005443029],"domain_scores_gemma":[0.9993255,0.00005479212,0.00003562605,0.0001270593,0.00004262037,0.0004144167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007167116,0.00007031474,0.5777274,0.00002952941,0.0001752978,0.000254021,0.01873446,0.000005580066,0.001589934,0.02490536,0.2669243,0.1095766],"study_design_scores_gemma":[0.0001622663,0.00000708691,0.9033325,0.00002700476,0.00001141114,1.735514e-8,0.02643959,0.000008090559,0.000003665306,0.001037104,0.06881999,0.0001513137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6938143,0.00007773321,9.477328e-7,0.0006700401,0.0003808675,0.0001424341,0.000004954886,0.00008672407,0.304822],"genre_scores_gemma":[0.9852958,0.00009901801,0.00002215335,0.01118633,0.0003961785,0.00001091341,0.00001287188,0.0000171891,0.002959544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.325605,"threshold_uncertainty_score":0.941653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06430008053675226,"score_gpt":0.3781074066113477,"score_spread":0.3138073260745955,"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."}}