{"id":"W4400226901","doi":"10.1503/cmaj.240838","title":"Correction to “May 2024 obituaries”","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Text mining; Data science; Natural language processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005452633,0.001496614,0.001705383,0.00304078,0.006460952,0.006137056,0.003055178,0.007347857,0.2615986],"category_scores_gemma":[0.1064354,0.001183451,0.00136785,0.003068871,0.00200981,0.002763742,0.00274614,0.01264592,0.1729565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0064283,"about_ca_system_score_gemma":0.009826492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05805948,"about_ca_topic_score_gemma":0.05629454,"domain_scores_codex":[0.9894133,0.001250716,0.001191133,0.000964509,0.005883659,0.001296655],"domain_scores_gemma":[0.9559868,0.007551796,0.004119591,0.002057582,0.02805382,0.002230402],"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":[0.000005085999,7.786173e-7,0.00001157939,0.00001196956,8.620439e-7,0.00001367707,0.000008172109,0.000001694044,0.000002281384,0.0001419796,0.9991089,0.000693023],"study_design_scores_gemma":[0.00001928936,0.000006531336,0.0003265333,0.0002591409,0.000006228405,0.00009324579,0.00007089539,0.00002405063,0.00005314419,0.0003438586,0.998781,0.00001599121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000151559,0.001607081,0.0004522891,0.1751469,0.7832446,0.00006773646,0.004289767,0.001169963,0.03387017],"genre_scores_gemma":[0.01054166,0.004868276,0.001536045,0.2604542,0.1906823,0.0004869453,0.007634753,0.002693013,0.5211028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7384014,"threshold_uncertainty_score":0.8751343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096521468576925,"score_gpt":0.3057359425365103,"score_spread":0.294770727850741,"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."}}