{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119984,0.00005276687,0.0001288612,0.00001250995,0.000396678,0.00003815322,0.0002637467,0.00007722156,0.0002346255],"category_scores_gemma":[0.0006790019,0.00004032475,0.00006457025,0.0001689428,0.0003515519,0.00009049518,0.00002040008,0.00007510413,0.0001536166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004549989,"about_ca_system_score_gemma":0.000175258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002367724,"about_ca_topic_score_gemma":0.009815069,"domain_scores_codex":[0.9988531,0.0002229187,0.0001893983,0.0001172467,0.0004169663,0.0002003303],"domain_scores_gemma":[0.9991823,0.0003046333,0.0001068768,0.0001933765,0.0001514053,0.00006140049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006904396,0.0001063671,0.1778775,0.0001008134,0.00005287441,0.000001354977,0.104434,0.000007966632,0.00077312,0.6489623,0.006970767,0.06064382],"study_design_scores_gemma":[0.0002279219,0.0000155786,0.01516997,0.00002957478,0.00001630463,9.49554e-8,0.008616287,0.00002249035,0.00009685918,0.008266881,0.9674386,0.00009942177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143602,0.001542048,0.0008602035,0.003178838,0.00119262,0.0004453477,0.000005861012,0.00005977298,0.1783551],"genre_scores_gemma":[0.9934552,0.0002826242,0.00004335861,0.0003393586,0.0002286606,0.000007592172,0.000002152493,0.000004642848,0.005636367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9604679,"threshold_uncertainty_score":0.5477039,"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."}}