{"id":"W6921098391","doi":"10.6084/m9.figshare.5969719.v1","title":"Additional file 1: of Positive predictive value of medical student specialty choices","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictive value; Specialty; Population; Table (database); Value (mathematics); Positive predicative value","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002342589,0.001091991,0.001276912,0.00375186,0.0009763165,0.001193232,0.001618369,0.0009776312,0.7560712],"category_scores_gemma":[0.06509896,0.0005314124,0.0009180882,0.004650751,0.0002296599,0.002375057,0.001017115,0.001162961,0.09077095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217764,"about_ca_system_score_gemma":0.001989585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202332,"about_ca_topic_score_gemma":0.01529968,"domain_scores_codex":[0.9985373,0.000395845,0.0003219953,0.0002843445,0.0002772752,0.0001833136],"domain_scores_gemma":[0.9451974,0.04381443,0.003765925,0.00200893,0.004520528,0.0006926722],"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":[0.0004039424,0.0001390099,0.01867664,0.001259367,0.00005715146,0.00005349645,0.00010881,0.0004334731,0.00002760637,0.0005893165,0.9673221,0.01092912],"study_design_scores_gemma":[0.007957349,0.001082939,0.3273199,0.01196495,0.0006524963,0.001722027,0.003055871,0.01282337,0.001120237,0.01869116,0.6131595,0.000450252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001191803,0.00002885373,0.0002684458,0.000177309,0.0000273745,0.0001287338,0.9966819,0.0001337248,0.001361967],"genre_scores_gemma":[0.07085352,0.0004591623,0.006500529,0.001214755,0.000312389,0.007880612,0.889255,0.001040429,0.02248359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7560712,"threshold_uncertainty_score":0.3479348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336462839750177,"score_gpt":0.3719517545003769,"score_spread":0.3383054705253592,"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."}}