{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000757348,0.0003010937,0.0005828739,0.0006079012,0.0001744718,0.00009319153,0.0004430837,0.0006834447,0.00000357675],"category_scores_gemma":[0.00001129563,0.0003300959,0.0001756924,0.0007393137,0.00008267198,0.0001436421,0.00007813589,0.000821854,0.0003601975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629511,"about_ca_system_score_gemma":0.0003520161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1375114,"about_ca_topic_score_gemma":0.02753666,"domain_scores_codex":[0.9982293,0.00001677186,0.0003516193,0.0004565738,0.0001981729,0.0007475758],"domain_scores_gemma":[0.9986173,0.00004068574,0.0003232061,0.0007306075,0.0002531243,0.00003505756],"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":[3.041937e-7,0.000008391263,0.0000387615,0.003870199,0.00004606688,0.0002530413,0.000003921125,3.315202e-7,0.0001188258,0.008043683,0.9360312,0.05158528],"study_design_scores_gemma":[0.0001001258,0.000004443246,0.0002938614,0.0003410588,0.00006294051,3.699033e-7,0.00005715673,0.000008997509,0.0000217243,0.0008151577,0.9980014,0.0002927715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002226148,0.004837769,0.00009610241,0.4609091,0.00362101,0.003208079,0.0003921985,0.0004259815,0.5242836],"genre_scores_gemma":[0.01145364,0.00002656087,0.00001850323,0.9776374,0.009448099,0.0002889395,0.0008560932,0.00009245089,0.0001783497],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5241053,"threshold_uncertainty_score":0.9999151,"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."}}