{"id":"W1863731367","doi":"10.5489/cuaj.3019","title":"Mentorship in Urology","year":2015,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mentorship; Urology; Medicine; Medical education","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"],"consensus_categories":[],"category_scores_codex":[0.01541269,0.0004501132,0.0007447728,0.001965987,0.0187166,0.01175109,0.00287373,0.01030625,0.02967156],"category_scores_gemma":[0.02867568,0.0004100511,0.0005204468,0.002537595,0.01190984,0.005696706,0.01085503,0.01287701,0.00246749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02084563,"about_ca_system_score_gemma":0.07101455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08344847,"about_ca_topic_score_gemma":0.2440273,"domain_scores_codex":[0.9856248,0.006240738,0.0003005488,0.0006583203,0.002517525,0.004658017],"domain_scores_gemma":[0.9294447,0.008984676,0.001690882,0.001065719,0.004796436,0.05401761],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004533935,0.0003059401,0.004314488,0.0003402914,0.00001865463,0.0004394254,0.01255794,0.0001515068,0.0001022009,0.1648603,0.6878073,0.1290567],"study_design_scores_gemma":[0.00002769615,0.0001010942,0.01294659,0.001151304,0.00001011637,0.0003812277,0.01652654,0.0001407403,0.00007856989,0.02236146,0.9462241,0.00005041876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01264976,0.05748293,0.000403588,0.7321104,0.01839683,0.00004466457,0.00006757444,0.00005578255,0.1787884],"genre_scores_gemma":[0.5828064,0.05637254,0.0008598033,0.1134664,0.02458087,0.0001642376,0.0001361319,0.0001370284,0.2214766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845873,"threshold_uncertainty_score":0.1659255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348549442157715,"score_gpt":0.2659803543291365,"score_spread":0.2224948599075593,"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."}}