{"id":"W4291788653","doi":"10.2196/40194","title":"Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning–Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Data Science Institute, Columbia University","keywords":"Neglect; Child abuse; Medicine; Child neglect; Psychology; Nursing; Psychiatry; Poison control; Suicide prevention; Medical emergency","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":[],"consensus_categories":[],"category_scores_codex":[0.01884924,0.0007123442,0.0008298256,0.00136169,0.01178145,0.003217473,0.001283472,0.001217258,0.002297048],"category_scores_gemma":[0.02982024,0.0006910435,0.0003788791,0.0008845823,0.007202747,0.003146179,0.004776031,0.002607722,0.0002268726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005026709,"about_ca_system_score_gemma":0.009609911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018726,"about_ca_topic_score_gemma":0.02544064,"domain_scores_codex":[0.9917646,0.006231016,0.0002788314,0.0003190181,0.0005127022,0.0008938104],"domain_scores_gemma":[0.9838414,0.01119632,0.001264422,0.0003604136,0.001868022,0.001469389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001066147,0.00001944045,0.004671276,0.00009717261,0.000002892082,0.0005890417,0.9907766,0.00001507673,0.0002500424,0.0005962279,0.000427785,0.002543833],"study_design_scores_gemma":[0.000001337198,0.00001349797,0.0008871402,0.0001434517,0.000002240007,0.0001378742,0.9963292,0.00003938512,0.00007410079,0.0001509934,0.002216372,0.000004380663],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985148,0.00192124,0.002832911,0.005853754,0.0000824646,0.0003471214,0.00007471801,0.00001182901,0.003727957],"genre_scores_gemma":[0.9935768,0.001563531,0.001646246,0.00158645,0.00001824213,0.0003956661,0.00002537611,0.00001410814,0.001173675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02018726,"threshold_uncertainty_score":0.09968549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1731526369863911,"score_gpt":0.4430059668173607,"score_spread":0.2698533298309695,"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."}}