{"id":"W2913220359","doi":"10.1037/e621932009-001","title":"Psychological Issues for Seniors in Disasters: A Canadian Perspective","year":2009,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Psychology; Applied psychology; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.002413277,0.0009472769,0.0009718816,0.006612996,0.00227151,0.003049954,0.003265007,0.001357825,0.01753292],"category_scores_gemma":[0.01568267,0.0005582705,0.001673325,0.019772,0.0004968984,0.001203389,0.002149412,0.002897201,0.004510527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02470263,"about_ca_system_score_gemma":0.04935553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9813201,"about_ca_topic_score_gemma":0.9894801,"domain_scores_codex":[0.9985933,0.0001382694,0.0001617839,0.0001887648,0.0005046828,0.0004131993],"domain_scores_gemma":[0.9875703,0.001432644,0.001119877,0.000826604,0.007277144,0.001773453],"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":[0.00009833286,0.00003054606,0.02727269,0.0004415037,0.00007660281,0.00003344178,0.0001667242,0.0003330123,0.00001814989,0.001042495,0.961296,0.00919048],"study_design_scores_gemma":[0.0001772637,0.00002212215,0.4269039,0.001826602,0.0002038064,0.00009168588,0.001974729,0.001335229,0.0001487078,0.001600714,0.5656043,0.0001109211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002199132,0.0005236071,0.0000833992,0.00165827,0.00005508026,0.00004213889,0.9934599,0.00004675047,0.001931728],"genre_scores_gemma":[0.01719427,0.00144905,0.000706524,0.0006626174,0.00004888526,0.0002805988,0.9753348,0.00004575375,0.004277354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02470263,"threshold_uncertainty_score":0.179231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09500856131611783,"score_gpt":0.5131505252004229,"score_spread":0.4181419638843051,"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."}}