{"id":"W2471340413","doi":"10.1097/acm.0000000000001052","title":"In Reply to Rosenkranz and Hu and to Wolfson and Arora","year":2016,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Timeline; Scholarship; Medical education; Institution; Value (mathematics); Psychology; Selection (genetic algorithm); Medical school; Population; Resource (disambiguation); Public relations; Medicine; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02925948,0.001954217,0.004395119,0.004439692,0.004237366,0.008427138,0.006779647,0.03462006,0.00909452],"category_scores_gemma":[0.2360197,0.001863451,0.003010084,0.005092778,0.00613562,0.01146422,0.005928362,0.04078958,0.008637887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008505953,"about_ca_system_score_gemma":0.01706927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009604261,"about_ca_topic_score_gemma":0.01125387,"domain_scores_codex":[0.9749777,0.007161478,0.005334906,0.002630722,0.008438268,0.001456918],"domain_scores_gemma":[0.8411762,0.07582106,0.01499644,0.003378033,0.05756643,0.007061705],"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":[0.00002332969,0.000004591383,0.00005932793,0.0003960865,0.0000238207,0.00009443994,0.0001293716,0.000016986,0.00003370515,0.0005113081,0.9963173,0.002389743],"study_design_scores_gemma":[0.00008831749,0.00004674204,0.000568379,0.003177234,0.0001099801,0.000781709,0.0006820584,0.0001400522,0.0002419621,0.004231672,0.9897943,0.0001374789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006048621,0.006589114,0.0002035987,0.8775459,0.1151374,0.00003932071,0.0001040808,0.00005397624,0.0002661422],"genre_scores_gemma":[0.0007017562,0.003909533,0.0004066424,0.9387013,0.05453854,0.00014709,0.00003665267,0.00004695796,0.001511406],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03462006,"threshold_uncertainty_score":0.1547408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136084029949511,"score_gpt":0.4595300132887859,"score_spread":0.3234459833392749,"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."}}