{"id":"W2137205500","doi":"10.5210/ojphi.v6i2.5376","title":"Calls to the British Columbia Drug and Poison Information Centre: A summary of differences by health service areas","year":2014,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Poisoning and overdose treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"","keywords":"Medicine; Population; Rural area; Occupational safety and health; Public health; Environmental health; Health care; Geography; Medical emergency; Suicide prevention; Poison control; Demography; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001471632,0.0003700455,0.0004546285,0.004468706,0.001748964,0.001692632,0.001326641,0.0004353211,0.005515475],"category_scores_gemma":[0.006727579,0.0003497712,0.0006021544,0.009635208,0.0004497341,0.0007747661,0.001565325,0.0007796171,0.0007349419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066083,"about_ca_system_score_gemma":0.009510836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8579857,"about_ca_topic_score_gemma":0.9098518,"domain_scores_codex":[0.9970993,0.0003557364,0.0003520677,0.0002812872,0.001062214,0.0008495305],"domain_scores_gemma":[0.9937874,0.0007861249,0.001403362,0.0001558953,0.003128392,0.0007387549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001960145,0.00004485087,0.9316878,0.0003892234,0.00009574483,0.0002904154,0.002936189,0.0002979968,0.0003865913,0.0002198749,0.01905129,0.04440391],"study_design_scores_gemma":[0.000001906219,0.00001020459,0.9932529,0.0000992022,0.00001434674,0.00007817647,0.002985618,0.0001192226,0.00003893534,0.0000189462,0.003372126,0.000008339053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167181,0.007474657,0.0006477159,0.00388176,0.0001326153,0.0003351562,0.04239977,0.0001835442,0.02822659],"genre_scores_gemma":[0.9792261,0.004217704,0.0006819732,0.0003740963,0.00003138294,0.0001567631,0.01128629,0.00007482566,0.003950768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420143,"threshold_uncertainty_score":0.2857012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209951706562863,"score_gpt":0.2841990975537613,"score_spread":0.263203926897475,"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."}}