{"id":"W2316610992","doi":"10.1017/s1049023x15000096","title":"Preparing for Euro 2012: Developing a Hazard Risk Assessment","year":2015,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Preparedness; Risk assessment; Hazard; Vulnerability (computing); Natural hazard; Poison control; Occupational safety and health; Vulnerability assessment; Emergency management; Medicine; Medical emergency; Computer security; Computer science; Political science; Geography; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01239573,0.001498088,0.0005656395,0.007395639,0.000991778,0.003708202,0.001201167,0.0009431707,0.007777622],"category_scores_gemma":[0.02790026,0.0004521745,0.001356592,0.002639415,0.000624179,0.003655047,0.002892216,0.0009393454,0.002189739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935319,"about_ca_system_score_gemma":0.004641311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003155897,"about_ca_topic_score_gemma":0.002581141,"domain_scores_codex":[0.995549,0.001813157,0.0006643182,0.0003005466,0.001447664,0.0002253492],"domain_scores_gemma":[0.9846491,0.007226401,0.002177647,0.000727936,0.004628331,0.0005905469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004055742,0.0008720982,0.07907473,0.001874298,0.0002238147,0.0006268137,0.004772895,0.05685593,0.004933259,0.01659546,0.03585839,0.7979067],"study_design_scores_gemma":[0.0002400005,0.002929144,0.1926906,0.005823246,0.0005699763,0.002759239,0.03097733,0.3336018,0.0311793,0.07186338,0.3264337,0.0009322687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2247886,0.0009905481,0.6627861,0.004773297,0.0003913043,0.009417304,0.01300621,0.008738556,0.07510811],"genre_scores_gemma":[0.2279728,0.0006443769,0.7562687,0.0002553116,0.00005226214,0.002512537,0.007701208,0.0002435633,0.0043492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239573,"threshold_uncertainty_score":0.06555563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09067469884334717,"score_gpt":0.4329850240806019,"score_spread":0.3423103252372547,"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."}}