{"id":"W2928048883","doi":"10.1016/j.chiabu.2019.03.020","title":"Can coders abstract child maltreatment variables from child welfare administrative data and case narratives for public health surveillance in Canada?","year":2019,"lang":"en","type":"article","venue":"Child Abuse & Neglect","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Public Health Agency of Canada","funders":"Public Health Agency of Canada","keywords":"Poison control; Occupational safety and health; Injury prevention; Suicide prevention; Human factors and ergonomics; Welfare; Child abuse; Narrative; Public health; Child protection; Psychology; Shaken baby syndrome; Medical emergency; Medicine; Political science; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002885849,0.0005544187,0.0008103135,0.0001607389,0.0006601064,0.0001262189,0.0005351173,0.0001494695,0.0009943404],"category_scores_gemma":[0.00004862852,0.0005109775,0.00007675158,0.0003165177,0.00009730901,0.0002463424,0.00008437334,0.00054627,0.00001465564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004486988,"about_ca_system_score_gemma":0.0007442433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6184428,"about_ca_topic_score_gemma":0.981113,"domain_scores_codex":[0.9964001,0.0002466203,0.000673228,0.001446864,0.0002487502,0.0009844225],"domain_scores_gemma":[0.9973407,0.0003943076,0.0003556748,0.00143369,0.00005520033,0.000420419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002822538,0.00535106,0.650798,0.0007023381,0.007034013,0.006188224,0.2042057,0.0001885973,0.00002369708,0.01325101,0.03332314,0.07611169],"study_design_scores_gemma":[0.009299837,0.0006385481,0.8741316,0.0004676919,0.00004141956,0.001702427,0.02557874,0.0001047708,0.00003635011,0.0001135263,0.08676042,0.001124667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413865,0.005048285,0.00001608589,0.03213934,0.0006855931,0.002309201,0.008571697,0.00007409778,0.009769183],"genre_scores_gemma":[0.9946955,0.0003658535,0.0001327031,0.00181184,0.0002283935,0.00009967685,0.002537467,0.00007558486,0.00005297817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3626702,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530111745178569,"score_gpt":0.2988674780405494,"score_spread":0.2535663605887637,"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."}}