{"id":"W4406563031","doi":"10.1016/j.bjorlp.2018.10.002","title":"10.1016/j.bjorlp.2018.10.002","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mentorship; Otorhinolaryngology; Computer science; Medicine; Medical education; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001174785,0.0008477971,0.0005434078,0.002240137,0.001099073,0.003289998,0.001212143,0.003839519,0.9019894],"category_scores_gemma":[0.003185003,0.0004073812,0.0005875273,0.001101836,0.0009385183,0.002191528,0.001980906,0.001786355,0.859136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011067,"about_ca_system_score_gemma":0.001556797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876136,"about_ca_topic_score_gemma":0.00427903,"domain_scores_codex":[0.9994304,0.00006447866,0.00004824202,0.0001123657,0.0001625326,0.0001820067],"domain_scores_gemma":[0.9979014,0.0003382416,0.0002163608,0.0000910104,0.000343303,0.001109634],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001813756,0.0002608814,0.007710984,0.0004042039,0.000024659,0.0004962045,0.0001062695,0.0001151042,0.0002840664,0.002710357,0.511291,0.4764148],"study_design_scores_gemma":[0.00003339853,0.00006519761,0.005958908,0.001117662,0.00002317565,0.002984987,0.0003183655,0.0001211924,0.0001832239,0.002274176,0.9868978,0.00002186701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0060758,0.01673529,0.001291698,0.01433848,0.005131293,0.00007728078,0.003614083,0.001269916,0.9514661],"genre_scores_gemma":[0.01383852,0.006023186,0.001324846,0.002392426,0.001495195,0.00006983653,0.002468146,0.0003617836,0.9720259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9988252,"threshold_uncertainty_score":0.1398003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189114054355693,"score_gpt":0.2046629373711808,"score_spread":0.1927717968276239,"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."}}