{"id":"W4251755310","doi":"10.2490/jjrmc.51.s148","title":"Presidential lectureSpecial lectureEducational lectureStructural Education lectureSymposiumSatellite symposiumPanel discussionAsian symposiumPublic symposiumMedical ethics and safety training lectureTraining sessions for attending physiatristsMorning lectureLuncheon seminar","year":2014,"lang":"en","type":"article","venue":"The Japanese Journal of Rehabilitation Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Presidential system; Medical education; Psychology; Training (meteorology); Medicine; Political science; Law; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002708181,0.001719686,0.0005568142,0.001459056,0.002506157,0.003191251,0.001001204,0.002028717,0.4556085],"category_scores_gemma":[0.002324084,0.0003730283,0.0008268022,0.0006151361,0.0004708749,0.001717027,0.004517928,0.003549991,0.1685996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205757,"about_ca_system_score_gemma":0.004163584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005514194,"about_ca_topic_score_gemma":0.003473979,"domain_scores_codex":[0.9986857,0.0001862071,0.00005647412,0.0001651106,0.0004305318,0.0004761223],"domain_scores_gemma":[0.993856,0.0002646668,0.0002439585,0.0001619066,0.001383405,0.004090015],"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":[0.0002047071,0.0007490254,0.001043048,0.0002402538,0.000007678776,0.000136296,0.000196988,0.00006743056,0.002614527,0.002260319,0.8517002,0.1407796],"study_design_scores_gemma":[0.00005153275,0.0002391958,0.006933138,0.0001470823,0.000009385133,0.0001415856,0.000413097,0.0001167747,0.0008193022,0.001019429,0.9900912,0.00001828817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02135755,0.007764796,0.006474228,0.053314,0.1510887,0.001832698,0.00227831,0.001943831,0.7539459],"genre_scores_gemma":[0.01883851,0.003059344,0.001981674,0.003232328,0.02044358,0.0004764335,0.001113012,0.0002788479,0.9505762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4556085,"threshold_uncertainty_score":0.7765085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969675264086815,"score_gpt":0.4033649191036943,"score_spread":0.3636681664628261,"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."}}