{"id":"W2178078597","doi":"10.25035/ijare.07.04.06","title":"Differences in Drowning Rates between Rural and Non-Rural Residents of Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"International Journal of Aquatic Research and Education","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Demography; Residence; Bathtub; Rural area; Poison control; Injury prevention; Mortality rate; Occupational safety and health; Rural population; Suicide prevention; Population; Environmental health; Geography; Surgery","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":[0.0002375641,0.0001806117,0.0001832393,0.0008809461,0.0008466178,0.0004765488,0.0004994451,0.0001455539,0.001137976],"category_scores_gemma":[0.001230748,0.0001897688,0.000283459,0.001439823,0.0003816136,0.000214849,0.0003489832,0.0002170447,0.00009903423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005388397,"about_ca_system_score_gemma":0.004661066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9735454,"about_ca_topic_score_gemma":0.9864287,"domain_scores_codex":[0.999627,0.00002505044,0.00002867039,0.00007552173,0.0001390892,0.0001045828],"domain_scores_gemma":[0.999088,0.00005734543,0.0003464536,0.00002985758,0.0002995365,0.0001787056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003233614,0.000007820131,0.9978164,0.00001330269,0.00001951431,0.00005036357,0.0004233282,0.0000353213,0.0001732818,0.00002516113,0.0002154081,0.001187664],"study_design_scores_gemma":[0.000001887874,0.000008057874,0.9993423,0.000004587667,0.000004109397,0.00003027107,0.0003785,0.00004180364,0.000015193,0.000004257571,0.0001674008,0.000001689644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973036,0.0002110315,0.0000582653,0.00006871828,0.000003182972,0.00001462363,0.001402113,0.000003760027,0.0009345575],"genre_scores_gemma":[0.9987847,0.0001725464,0.00004916712,0.00001861712,0.00000186267,0.000005669307,0.0005669086,0.00000161805,0.0003988166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02645463,"threshold_uncertainty_score":0.05322081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05496807496030914,"score_gpt":0.4129483091501999,"score_spread":0.3579802341898907,"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."}}