{"id":"W7037841987","doi":"","title":"Examining the effectiveness of youth diversion programming","year":2017,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recidivism; Sanctions; Accountability; Cornerstone; Criminal justice; Economic Justice; Best practice; Sample (material)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007680382,0.000319787,0.000631301,0.00007737899,0.0003261802,0.001182572,0.003522086,0.0003714289,0.00147462],"category_scores_gemma":[0.00001353795,0.0004505753,0.0001871611,0.0003929612,0.000185229,0.0007246264,0.001539988,0.0007591018,0.000004863414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008177687,"about_ca_system_score_gemma":0.0003310291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426293,"about_ca_topic_score_gemma":0.00176317,"domain_scores_codex":[0.9968814,0.0004863993,0.0002875155,0.000856767,0.0004398791,0.001048051],"domain_scores_gemma":[0.9973829,0.000246113,0.0004774704,0.001758648,0.00002970143,0.0001051348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001743873,0.000116221,0.004081536,0.0004886241,0.0003553257,0.00009901308,0.00007919563,0.0001799294,8.668102e-7,0.1074767,0.4027379,0.4843672],"study_design_scores_gemma":[0.0005951388,0.000572474,0.0004924582,0.007215559,0.00009049087,0.00007006458,0.000002339297,0.002057298,0.0000240205,0.03737948,0.9505343,0.0009663478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00009707992,0.01095085,0.6009163,0.00002040376,0.001046109,0.002526593,0.00005142525,0.004815938,0.3795753],"genre_scores_gemma":[0.7056438,0.00405595,0.1269289,0.00009930931,0.001368788,0.0005252589,0.0002992837,0.001227618,0.1598512],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7055467,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008847765987884802,"score_gpt":0.1875777634922563,"score_spread":0.1787299975043715,"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."}}