{"id":"W3005808846","doi":"10.1177/2292550320905214","title":"Oral Exam Questions: Perilunate Injuries and Arm Reconstruction","year":2020,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Bone fractures and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Computer science; Medical 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":[],"consensus_categories":[],"category_scores_codex":[0.00004582232,0.00009401093,0.0002193596,0.0000490017,0.00005383866,0.00001916955,0.000009526292,0.00004662527,0.0002091129],"category_scores_gemma":[0.001397803,0.00007551289,0.00004281708,0.00008551585,0.00006230961,0.00007176798,0.00001302458,0.00008785228,0.00003693184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001585704,"about_ca_system_score_gemma":0.00004783423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003428597,"about_ca_topic_score_gemma":0.000003306697,"domain_scores_codex":[0.9994707,0.00001999245,0.0001438052,0.000163459,0.00008642227,0.0001156418],"domain_scores_gemma":[0.9987602,0.000963598,0.00004176751,0.00006210752,0.00002738709,0.0001449333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006203427,0.0001374375,0.9027697,0.0001295353,0.0002064052,0.0001631008,0.0002659359,0.000005360363,0.0003262832,0.0001479546,0.004113237,0.09111466],"study_design_scores_gemma":[0.0008300499,0.0002704728,0.9804275,0.0002480048,0.0002969404,0.0003914787,0.0001490183,0.0007494988,0.0008941606,0.0002033728,0.0153355,0.0002039846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970241,0.0005014631,0.00008872699,0.001116915,0.000897757,0.00006014023,0.00000977498,0.00007709621,0.000224011],"genre_scores_gemma":[0.9990821,0.000147412,0.000310776,0.0002263476,0.0001578979,0.000009328834,0.00001949034,0.00001122333,0.00003542199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09091067,"threshold_uncertainty_score":0.3079326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779602873447865,"score_gpt":0.256557162862308,"score_spread":0.2287611341278294,"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."}}