{"id":"W4307055596","doi":"10.1093/pch/pxac100.030","title":"31 Identifying Child Maltreatment in Virtual Medical Appointments - What Are We Missing?","year":2022,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Children's Hospital of Eastern Ontario; Stem Cell Network; Izaak Walton Killam Health Centre; University of Ottawa","funders":"","keywords":"Medicine; Pandemic; Family medicine; Agency (philosophy); Child abuse; Child care; Descriptive statistics; Poison control; Occupational safety and health; Suicide prevention; Coronavirus disease 2019 (COVID-19); Medical emergency; Pediatrics; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01148328,0.000356441,0.0009217981,0.002128222,0.004006229,0.005308702,0.002977999,0.001490308,0.009141837],"category_scores_gemma":[0.06174956,0.0005606972,0.0008765018,0.005287046,0.002219202,0.003666592,0.003137519,0.002501052,0.001005996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02584291,"about_ca_system_score_gemma":0.06260636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7610514,"about_ca_topic_score_gemma":0.8406824,"domain_scores_codex":[0.9859701,0.004058918,0.001061285,0.0007775175,0.004509286,0.003622968],"domain_scores_gemma":[0.9455242,0.01220381,0.009190524,0.001216415,0.01961303,0.01225209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001821777,0.0002736966,0.5668874,0.006493051,0.0001304635,0.000632883,0.02145969,0.0002687141,0.000210673,0.001550036,0.09264836,0.3092628],"study_design_scores_gemma":[0.00003443526,0.0002126089,0.8174308,0.01814997,0.0001447905,0.0006598788,0.09726932,0.0005823432,0.0002131225,0.0008287856,0.06434657,0.0001274034],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5406896,0.08637906,0.001934382,0.3154972,0.003056506,0.0009918428,0.01438232,0.0002163563,0.0368526],"genre_scores_gemma":[0.9140499,0.05329573,0.005575469,0.02084667,0.0008752266,0.0005356994,0.003138925,0.00005993124,0.001622422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7610514,"threshold_uncertainty_score":0.4807116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287842777497213,"score_gpt":0.3229816570094692,"score_spread":0.2901032292344971,"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."}}