{"id":"W4399647634","doi":"10.1186/s12961-024-01156-0","title":"Supporting Ontario public health units to address adverse childhood experiences in pandemic recovery planning: A priority-setting exercise","year":2024,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara; Public Health Ontario; McMaster University; University of Toronto","funders":"Public Health Ontario","keywords":"Public health; Pandemic; Medicine; Environmental health; Health services research; Neglect; Health policy; Socioeconomic status; Occupational safety and health; Nursing; Coronavirus disease 2019 (COVID-19); Disease; Population; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.01206319,0.0002467724,0.0005993915,0.001736497,0.0006699931,0.0003578093,0.0003187822,0.0001782311,0.0001028663],"category_scores_gemma":[0.0007445387,0.000226026,0.00005241369,0.002160233,0.00009953724,0.0002987551,0.0001617021,0.001397991,0.0001091742],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197041,"about_ca_system_score_gemma":0.007131756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2481955,"about_ca_topic_score_gemma":0.04263957,"domain_scores_codex":[0.9931301,0.001671287,0.001111275,0.0008700474,0.0007298284,0.002487471],"domain_scores_gemma":[0.9971316,0.0009142447,0.000157145,0.0004418348,0.000130184,0.001224932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008954415,0.000158461,0.04691281,0.001087278,0.00004411309,0.0001870463,0.8649294,0.00001465149,0.000001922923,0.004903871,0.01624601,0.0654249],"study_design_scores_gemma":[0.001784506,0.001504325,0.2661789,0.00930541,0.000003917351,0.0004544846,0.3385816,0.0001475103,0.000001921383,0.0002123753,0.381228,0.0005970611],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678594,0.01515269,0.0000149267,0.00809501,0.0009101117,0.002337978,0.00004258207,0.0001698035,0.005417467],"genre_scores_gemma":[0.9934671,0.0003976261,0.00001590768,0.001077053,0.0007780968,0.0006535289,0.00002705735,0.00004090485,0.003542732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5263478,"threshold_uncertainty_score":0.9984969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3938204210865397,"score_gpt":0.5141829213636852,"score_spread":0.1203625002771455,"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."}}