{"id":"W1596135598","doi":"10.1007/bf03404025","title":"Quantifying the Iceberg Effect for Injury","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; NOSM University; University of Ottawa","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Emergency department; Population; Occupational safety and health; Emergency medicine; Injury prevention; Poison control; Census; Medical emergency; Demography; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.005016889,0.0006500754,0.00138886,0.001853592,0.0004723643,0.001512104,0.001049312,0.001289041,0.002690551],"category_scores_gemma":[0.01919245,0.0005187609,0.001257511,0.001512066,0.0007526101,0.002025733,0.001162325,0.001052484,0.0002680447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640118,"about_ca_system_score_gemma":0.002464675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06613205,"about_ca_topic_score_gemma":0.06413645,"domain_scores_codex":[0.9983242,0.0005678929,0.00009375103,0.0003600934,0.0004086868,0.0002452728],"domain_scores_gemma":[0.9907022,0.006460669,0.0008077962,0.0009324698,0.0008419517,0.0002549177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001085407,0.0002279153,0.3846491,0.0002164314,0.00117877,0.000202704,0.0001906443,0.544265,0.0007295634,0.02103573,0.004730861,0.04148785],"study_design_scores_gemma":[0.00007608027,0.00061256,0.3236869,0.0001767358,0.0009011981,0.0002790983,0.0007481776,0.6186009,0.001834296,0.04648869,0.006511023,0.00008440865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884448,0.003016412,0.08482735,0.001591278,0.0003286125,0.0002487028,0.005982304,0.0002605617,0.01529993],"genre_scores_gemma":[0.988331,0.0005582416,0.007711927,0.0001097147,0.00005283604,0.00003311624,0.001519108,0.00002841722,0.001655622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06613205,"threshold_uncertainty_score":0.1314943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142005385808675,"score_gpt":0.4103720133001109,"score_spread":0.2961714747192434,"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."}}