{"id":"W4237566689","doi":"10.1503/cmaj.050305","title":"Correction","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001784249,0.00004454785,0.00007624951,0.00008201056,0.0009803548,0.0001213978,0.0001109933,0.0001738843,0.007612874],"category_scores_gemma":[0.003602774,0.0000428418,0.00005005778,0.0001558276,0.00004186659,0.0002193739,0.000004497968,0.0003759251,0.00071535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009645583,"about_ca_system_score_gemma":0.002562589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01396762,"about_ca_topic_score_gemma":0.6739327,"domain_scores_codex":[0.9982433,0.0001663576,0.0001629528,0.00005592188,0.0009920509,0.0003793722],"domain_scores_gemma":[0.9982847,0.0001437722,0.00007991843,0.00002945585,0.0002101609,0.001252024],"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":[8.089373e-7,0.000007578814,0.03948861,2.084697e-7,0.00001744594,0.0000136793,0.006752208,0.000001990072,2.423096e-7,0.0005716981,0.7406719,0.2124737],"study_design_scores_gemma":[0.000137897,0.000008383086,0.02204379,0.000009551275,0.000004354971,0.00001552738,0.004533874,0.00002747425,0.000001134169,0.00009950069,0.9730658,0.0000526888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1039381,0.0003180193,0.00008847832,0.2521242,0.00510921,0.00006815364,0.000003449995,0.00004302503,0.6383073],"genre_scores_gemma":[0.9615633,0.0002669152,0.00003679939,0.01611385,0.006744945,0.00000126922,7.242398e-7,0.000004363335,0.01526782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8576252,"threshold_uncertainty_score":0.9932943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159008162214951,"score_gpt":0.2795484788466086,"score_spread":0.2679583972244591,"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."}}