{"id":"W3154484873","doi":"10.46747/cfp.6704230","title":"Climate effects of CaRMS applications","year":2021,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Matching (statistics); Climate change; Service (business); Computer science; Political science; Business; Engineering; Geology; Medicine; Marketing; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003509859,0.0002136701,0.0002094972,0.0009990952,0.006249234,0.003771655,0.001173834,0.002992684,0.02323557],"category_scores_gemma":[0.02847255,0.0002052412,0.0005314483,0.001530696,0.001202928,0.001364118,0.001568753,0.004270548,0.002841934],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01833165,"about_ca_system_score_gemma":0.02176647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6680768,"about_ca_topic_score_gemma":0.7889026,"domain_scores_codex":[0.99214,0.001186993,0.0001546606,0.0003118224,0.004293207,0.00191338],"domain_scores_gemma":[0.9681129,0.005801482,0.002171025,0.0007599405,0.01917857,0.003976117],"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":[0.000208014,0.00008227784,0.02971322,0.000119077,0.00003105481,0.0006909861,0.001781063,0.001017424,0.000800404,0.01458717,0.9139521,0.03701719],"study_design_scores_gemma":[0.00002730787,0.0001109604,0.1412896,0.0002399386,0.00003278423,0.0003239074,0.005197729,0.001532056,0.0009537062,0.003510949,0.8466491,0.0001320343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05508084,0.004996031,0.0009076094,0.599412,0.005705508,0.00008974465,0.00328484,0.0004011875,0.3301223],"genre_scores_gemma":[0.7684984,0.003598923,0.0007283539,0.1276638,0.003743751,0.00007232597,0.001033118,0.0004108365,0.09425061],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9816684,"threshold_uncertainty_score":0.6677558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134662492415522,"score_gpt":0.2131830677399497,"score_spread":0.1997168184983975,"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."}}