{"id":"W7098299993","doi":"","title":"REVIEW Innovative strategic Canadian research training from TomorrOw’s Research Cardiovascular Health Care Professionals (TORCH)","year":2003,"lang":"en","type":"article","venue":"","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Training (meteorology); Cardiovascular health; Health care; Health professionals","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006275936,0.001076886,0.001243406,0.003086278,0.001643404,0.003820741,0.002940344,0.002597484,0.01728783],"category_scores_gemma":[0.01349626,0.0004239229,0.0008743781,0.006581826,0.001525811,0.001444899,0.001697601,0.002539457,0.002850791],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02996658,"about_ca_system_score_gemma":0.110583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4761132,"about_ca_topic_score_gemma":0.7462832,"domain_scores_codex":[0.9972714,0.0005706346,0.0002648461,0.0002196007,0.001243105,0.0004305014],"domain_scores_gemma":[0.9858125,0.003905209,0.0009894508,0.0002559862,0.007209796,0.001826881],"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":[0.0001224684,0.00007194931,0.0002647171,0.06183697,0.0001424164,0.0001089512,0.0002544933,0.0002362474,0.0001604248,0.00675938,0.5176546,0.4123874],"study_design_scores_gemma":[0.00008061741,0.00006306695,0.002545188,0.05293872,0.0002456811,0.0001135006,0.0004056916,0.00002440361,0.00009176922,0.0006881255,0.9427793,0.00002396991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002243834,0.9603039,0.0001618242,0.01951654,0.006528602,0.0001932665,0.0002689548,0.00002421883,0.01277833],"genre_scores_gemma":[0.002643042,0.9869647,0.0003769024,0.00559572,0.001574691,0.0001625167,0.0001740743,0.000006282775,0.002502064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.993724,"threshold_uncertainty_score":0.9466838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.714808047562041,"score_gpt":0.6033203080464478,"score_spread":0.1114877395155932,"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."}}