{"id":"W4321503951","doi":"10.46747/cfp.690280_2","title":"Today’s residents are ready to lead","year":2023,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); Data science; Field (mathematics); Computer science; Medicine; World Wide Web; Medical education; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003961192,0.0007218097,0.0008456031,0.0005688982,0.02285159,0.005692054,0.001816679,0.02884698,0.03014843],"category_scores_gemma":[0.02506924,0.0006496883,0.000673146,0.0007320505,0.006341887,0.005811416,0.002890511,0.04507504,0.01239635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01111542,"about_ca_system_score_gemma":0.02590959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1442065,"about_ca_topic_score_gemma":0.3383907,"domain_scores_codex":[0.9953244,0.001071678,0.0001995835,0.0004778061,0.001737556,0.001188953],"domain_scores_gemma":[0.9813542,0.003320309,0.0009587221,0.0003495713,0.004477478,0.009539763],"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":[0.000005331089,0.00001065506,0.0002734312,0.00001599884,0.000001886186,0.0004437109,0.0003297149,0.000007283984,0.00003957155,0.0009527125,0.9952767,0.00264298],"study_design_scores_gemma":[0.00001722012,0.00002793814,0.0009886913,0.0002532905,0.000006740447,0.001163426,0.003804712,0.00005063214,0.00005325102,0.002115762,0.9914827,0.00003575937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002960902,0.0007000174,0.00003278421,0.9859622,0.007258366,0.000005730095,0.00001348053,0.00001762961,0.005713646],"genre_scores_gemma":[0.004929961,0.001045166,0.0001357631,0.9706329,0.006102629,0.00001539424,0.00001387766,0.00002273971,0.01710158],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1442065,"threshold_uncertainty_score":0.2867343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600306268760039,"score_gpt":0.3816736023638033,"score_spread":0.2216429754877994,"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."}}