{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108978,0.0001903967,0.0003117675,0.00008531958,0.0002839545,0.00001624196,0.0001337045,0.00006357351,0.00006033628],"category_scores_gemma":[0.0003583189,0.0001337924,0.00003473724,0.0000871825,0.00008222113,0.0002781386,0.0003308615,0.0001949752,0.00004839534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007947639,"about_ca_system_score_gemma":0.000121677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007028983,"about_ca_topic_score_gemma":0.00007282674,"domain_scores_codex":[0.9983163,0.0001953718,0.0004466255,0.0003449951,0.0002591485,0.000437545],"domain_scores_gemma":[0.9988729,0.0002788607,0.0001809811,0.0002561746,0.0001241297,0.0002869155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001416754,0.0002435661,0.1754904,0.001859512,0.0003723506,0.00001806805,0.1816539,0.0000105037,0.0000860445,0.04331915,0.502873,0.09265679],"study_design_scores_gemma":[0.008115259,0.001390356,0.06614424,0.001103744,0.0002429423,0.000003482498,0.05738559,0.0006863609,0.000004877713,0.01895411,0.845508,0.0004610899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7087278,0.001073124,0.07970358,0.007075577,0.001972207,0.002654795,0.00002485189,0.0001769443,0.1985911],"genre_scores_gemma":[0.9659306,0.0001343911,0.005271063,0.003377241,0.0008495178,0.0008031187,0.00004506735,0.00004650645,0.02354253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.342635,"threshold_uncertainty_score":0.5455894,"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."}}