{"id":"W7119717064","doi":"10.65264/xpvg2596","title":"Article 6: Constructing Risk Assessment Algorithms For Violent, Drug And Property-Related Offenders: An Empirical Approach","year":2020,"lang":"","type":"article","venue":"Advancing Corrections Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Schedule; Set (abstract data type); Risk management; Process (computing); Core (optical fiber)","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":[0.03550376,0.001093364,0.0006475692,0.004392292,0.001126256,0.003107297,0.001623203,0.001156617,0.002048091],"category_scores_gemma":[0.1187129,0.0005051979,0.00158556,0.002630064,0.001423981,0.002688038,0.00203022,0.002886135,0.000567393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003231492,"about_ca_system_score_gemma":0.004097469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02879007,"about_ca_topic_score_gemma":0.02343455,"domain_scores_codex":[0.9858522,0.0101335,0.0008226319,0.001442195,0.001340076,0.000409287],"domain_scores_gemma":[0.8682392,0.1146994,0.004259641,0.004419254,0.007741161,0.0006414531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005756394,0.00337415,0.8481166,0.0001667431,0.0004773124,0.00009386325,0.001586589,0.03994297,0.0006750457,0.00282194,0.00161557,0.1005537],"study_design_scores_gemma":[0.0002052378,0.001591684,0.2025907,0.0001431619,0.0002647685,0.0001790143,0.003545855,0.7835176,0.002209848,0.003721576,0.001950277,0.00008029889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594086,0.00015986,0.03673504,0.0002995255,0.00001892924,0.0009400872,0.0005586558,0.0001492229,0.001730066],"genre_scores_gemma":[0.9452175,0.00006941848,0.05297044,0.0000545072,0.00001358958,0.0003967759,0.0008180865,0.00002359999,0.0004359738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03550376,"threshold_uncertainty_score":0.187764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854575535533162,"score_gpt":0.3610286800787647,"score_spread":0.312482924723433,"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."}}