{"id":"W2109754653","doi":"10.1136/ip.2006.014480","title":"Cost-effectiveness analysis of a proposed public health legislative/educational strategy to reduce tap water scald injuries in children","year":2007,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Medicine; Tap water; Environmental health; Public health; Health care; Population; Poison control; Emergency department; Injury prevention; Cost-effectiveness analysis; Emergency medicine; Occupational safety and health; Cost–benefit analysis; Cost effectiveness; Medical emergency; Nursing; Engineering; Risk analysis (engineering)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451217,0.0001740443,0.0005211096,0.001538717,0.00006776471,0.00003088751,0.0001181826,0.0000802263,0.0002992253],"category_scores_gemma":[0.00007904597,0.0001408084,0.0001980294,0.001498203,0.00006866812,0.0002954092,0.00006397645,0.0001603799,0.00001508363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288161,"about_ca_system_score_gemma":0.0001930547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002247567,"about_ca_topic_score_gemma":0.0001881619,"domain_scores_codex":[0.997974,0.0002509709,0.000645034,0.0003556285,0.0003655671,0.00040875],"domain_scores_gemma":[0.999171,0.00005866338,0.000175256,0.0002893558,0.0001462465,0.0001594514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008028478,0.001260399,0.9043818,0.00014707,0.001266204,0.000001244601,0.001055932,0.00004028523,0.005670397,0.003837127,0.0001974942,0.08133928],"study_design_scores_gemma":[0.0007970001,0.00075942,0.9866118,0.00008856797,0.0002633142,0.000001449746,0.0001385118,0.00002128839,0.01026032,0.0004630865,0.0004567753,0.0001384392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916824,0.00005060061,0.00248212,0.001781037,0.0001048237,0.002654396,0.0000169772,0.00003354197,0.001194096],"genre_scores_gemma":[0.9972802,0.000009004397,0.0005073127,0.0001807478,0.00007283287,0.000112919,0.0004914617,0.00001666016,0.0013289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0822301,"threshold_uncertainty_score":0.5742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976734803915167,"score_gpt":0.403798047645578,"score_spread":0.3440306996064263,"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."}}