{"id":"W2810889896","doi":"10.1017/s1049023x18000481","title":"The Great East Japan Earthquake, Tsunamis, and Fukushima Daiichi Nuclear Power Plant Disaster: Lessons for Evidence Integration from a WADEM 2017 Presentation and Panel Discussion","year":2018,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health England","keywords":"Fukushima Nuclear Accident; Presentation (obstetrics); Forensic engineering; Nuclear power plant; Nuclear disaster; Panel discussion; Emergency management; Political science; Environmental planning; History; Geography; Engineering; Business; Medicine; Nuclear plant; Law; Nuclear engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.383936,0.001604438,0.002527869,0.005792777,0.008468531,0.01837843,0.004982274,0.02358345,0.005374457],"category_scores_gemma":[0.390406,0.001814593,0.004738336,0.005508124,0.007944572,0.02194938,0.0243043,0.03147179,0.0009387289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.022788,"about_ca_system_score_gemma":0.08049391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009232729,"about_ca_topic_score_gemma":0.03132552,"domain_scores_codex":[0.7546178,0.1937013,0.01887357,0.00593929,0.02053699,0.006330994],"domain_scores_gemma":[0.5051134,0.3975788,0.01529513,0.007361916,0.0569667,0.01768391],"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":[0.0006239259,0.0002197356,0.003391177,0.03410399,0.001449642,0.003089127,0.0852849,0.001238966,0.00141565,0.03866309,0.6541418,0.176378],"study_design_scores_gemma":[0.0002817416,0.0002325746,0.002848401,0.08039435,0.0008264349,0.0004081998,0.0619107,0.0004085543,0.0008392964,0.04188091,0.8096311,0.000337823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001802561,0.02581465,0.00127548,0.9560444,0.01275407,0.0003342782,0.0001881758,0.00001966518,0.001766643],"genre_scores_gemma":[0.1131612,0.1466919,0.02137139,0.6811709,0.0261721,0.005152492,0.0009790107,0.0001652221,0.005135803],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.383936,"threshold_uncertainty_score":0.7597166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736950892732201,"score_gpt":0.2695943752255889,"score_spread":0.2322248662982669,"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."}}