{"id":"W4306154137","doi":"10.1007/s12630-022-02341-x","title":"Response to: No community left behind: advancing rural anesthesia, surgery, and obstetric care in Canada","year":2022,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Canadian Anesthesiologists' Society; Memorial University of Newfoundland","funders":"Canadian Anesthesiologists' Society","keywords":"Medicine; Left behind; Rural community; Anesthesia; Medical emergency; Sociology; Demography; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002466482,0.0006306226,0.0009865025,0.0008382393,0.01927686,0.004562305,0.003095088,0.06516999,0.01030668],"category_scores_gemma":[0.01300091,0.0009261827,0.00111945,0.001063226,0.004091167,0.001942659,0.002300816,0.05028839,0.002470437],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04168636,"about_ca_system_score_gemma":0.1153792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.815767,"about_ca_topic_score_gemma":0.9094606,"domain_scores_codex":[0.9960271,0.000324785,0.0002831135,0.0003136582,0.0009827723,0.002068584],"domain_scores_gemma":[0.9870402,0.002169412,0.0005344719,0.0001296594,0.003351314,0.006774918],"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":[0.00005755754,0.00005132502,0.002442383,0.00007267544,0.00001674488,0.002210719,0.0009430808,0.0001150393,0.0002489705,0.001550645,0.9885925,0.0036983],"study_design_scores_gemma":[0.0001946809,0.0001123421,0.01301286,0.0006876602,0.00007055595,0.001833653,0.01351764,0.0009126663,0.0003332324,0.003090458,0.9660086,0.0002256955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00131749,0.0004111468,0.00003394307,0.9882074,0.006805847,0.00004071712,0.0001056433,0.00001972887,0.003058131],"genre_scores_gemma":[0.008893414,0.0005645779,0.0001306332,0.9695771,0.004931745,0.00005925334,0.00003492202,0.0000246901,0.01578362],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9583136,"threshold_uncertainty_score":0.3706359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646037282678117,"score_gpt":0.1978865459817183,"score_spread":0.1814261731549371,"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."}}