{"id":"W1566957376","doi":"","title":"The dummy's guide to medical training","year":2000,"lang":"en","type":"article","venue":"PubMed Central","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Computer science; Queen (butterfly); Training (meteorology); Space (punctuation); Medical education; Operations research; Data science; Medicine; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00212457,0.001389822,0.001080758,0.002520553,0.001076322,0.002122123,0.001760202,0.003191394,0.2320545],"category_scores_gemma":[0.009250101,0.001151257,0.0007161495,0.001294689,0.001018184,0.002621955,0.002232777,0.005258582,0.2198737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008561356,"about_ca_system_score_gemma":0.00475988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005415942,"about_ca_topic_score_gemma":0.01594691,"domain_scores_codex":[0.9987503,0.000347773,0.0001467368,0.00007580546,0.0005656536,0.000113738],"domain_scores_gemma":[0.9962282,0.001310739,0.0001629753,0.0001962946,0.001243178,0.0008586831],"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":[0.00001473439,0.00003841722,0.00005778582,0.00009494218,0.000001101627,0.00007355941,0.00005578324,0.00006401145,0.00009300928,0.001185506,0.898761,0.09956022],"study_design_scores_gemma":[0.00001290971,0.00002705129,0.0002533619,0.0002204183,8.707912e-7,0.0003379272,0.0000447865,0.00005546563,0.00002775116,0.0007966914,0.998214,0.000008805724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.00130536,0.0730359,0.05605861,0.07117681,0.03854195,0.002657089,0.01115292,0.01933689,0.7267345],"genre_scores_gemma":[0.004908617,0.04311902,0.06410648,0.0285703,0.005438584,0.001844175,0.005452596,0.001969043,0.8445912],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2320545,"threshold_uncertainty_score":0.7762997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577120715615586,"score_gpt":0.3392409295588724,"score_spread":0.3234697224027165,"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."}}