{"id":"W7126724666","doi":"","title":"Research Paper for Legal Aid NSW: Civil detention for high risk offenders","year":2023,"lang":"en","type":"other","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recidivism; Scope (computer science); Rehabilitation; Best practice; Punitive damages","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001699043,0.0002714761,0.0002153406,0.0007196667,0.001937593,0.002143652,0.0006811318,0.0009199357,0.1619305],"category_scores_gemma":[0.003563034,0.0002284958,0.000197924,0.000617423,0.0004847045,0.000973772,0.001918569,0.001132037,0.03628515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172199,"about_ca_system_score_gemma":0.01303929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0542373,"about_ca_topic_score_gemma":0.1357952,"domain_scores_codex":[0.9992686,0.0002121644,0.00004487386,0.00008017074,0.0002443024,0.0001498435],"domain_scores_gemma":[0.9971368,0.0004674905,0.0001383607,0.000174112,0.0008583842,0.001224806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001246028,0.0003577017,0.006181855,0.0007251828,0.00000981672,0.0005492478,0.002371412,0.0001710208,0.0006943361,0.007552058,0.7319311,0.2493316],"study_design_scores_gemma":[0.0000433003,0.0001761957,0.02924054,0.0007989364,0.000009443655,0.0002800403,0.003876258,0.0001853179,0.0004395133,0.0009338227,0.964002,0.00001459701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04127744,0.008088181,0.001415118,0.04296115,0.009708535,0.001931585,0.005469886,0.0004016852,0.8887465],"genre_scores_gemma":[0.03512243,0.003001063,0.00105623,0.002277581,0.0004040741,0.0004154052,0.001134994,0.0001282442,0.9564601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1619305,"threshold_uncertainty_score":0.5417114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734531873861381,"score_gpt":0.2689382720129274,"score_spread":0.2315929532743136,"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."}}