{"id":"W2943869934","doi":"10.29173/invoke48971","title":"The Medicalization of Female Deviance & Criminality","year":2019,"lang":"en","type":"article","venue":"INvoke","topic":"Crime, Deviance, and Social Control","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicalization; Deviance (statistics); Criminology; Psychology; Sociology; Psychiatry; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009956491,0.000123435,0.0002168416,0.002001435,0.002885975,0.001280577,0.0004302481,0.001483269,0.00374581],"category_scores_gemma":[0.009138676,0.0001097402,0.0001839148,0.001090324,0.005523374,0.0009206753,0.001837169,0.002239853,0.0001123791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018334,"about_ca_system_score_gemma":0.003973747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008390151,"about_ca_topic_score_gemma":0.01393331,"domain_scores_codex":[0.9983455,0.0008476293,0.00009008175,0.00008863764,0.0002624166,0.000365687],"domain_scores_gemma":[0.9950324,0.001163336,0.00214413,0.0001668748,0.0005136113,0.0009796366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003401211,0.001036593,0.3666025,0.0003933678,0.00008405006,0.005041126,0.02466124,0.0005001648,0.001777155,0.4006989,0.01760092,0.1812639],"study_design_scores_gemma":[0.00005488854,0.0004329374,0.8017411,0.0009821875,0.00005512755,0.01065153,0.03919027,0.001007423,0.000878734,0.08304974,0.06187816,0.00007800409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6976819,0.0105215,0.0006441936,0.142799,0.0004497016,0.00005422504,0.0001747689,0.0000158778,0.1476588],"genre_scores_gemma":[0.9958949,0.001271243,0.0001001345,0.001424296,0.0003379533,0.000009553029,0.0000158631,0.000002184752,0.0009438339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.997114,"threshold_uncertainty_score":0.01668262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04366212176546037,"score_gpt":0.3560197148840704,"score_spread":0.3123575931186101,"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."}}