{"id":"W7025614388","doi":"","title":"Youth probation officer pre-sentence report recommendations","year":2013,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Criminal justice; Economic Justice; Sentencing guidelines; Law enforcement; Criminal law; Deterrence (psychology); Procedural justice","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":[0.0003093726,0.0001913804,0.0002878479,0.00007128637,0.0006070071,0.002065673,0.001903224,0.0001676301,0.007657939],"category_scores_gemma":[0.00008421267,0.0003381732,0.0001187783,0.001102247,0.0001399965,0.003610848,0.0007904466,0.0005789054,0.0001171759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707339,"about_ca_system_score_gemma":0.0005277594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058324,"about_ca_topic_score_gemma":0.003267298,"domain_scores_codex":[0.9967803,0.0001651005,0.0006268586,0.0009078496,0.0003589031,0.00116095],"domain_scores_gemma":[0.9980838,0.0001200989,0.0003567652,0.001196403,0.0001045712,0.0001383935],"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":[0.000002384639,0.0001765559,0.004515037,0.00001513798,0.00005400607,0.00006387314,0.0002156638,0.0004078256,0.000002802929,0.07584637,0.7463392,0.1723612],"study_design_scores_gemma":[0.0004197744,0.0003566243,0.003866482,0.0002362451,0.00001906428,0.0006703238,0.00003837757,0.03141025,0.00002281511,0.8121477,0.1500551,0.0007572661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1707837,0.009336209,0.133836,0.04700299,0.008978689,0.01114289,0.00003973022,0.04051487,0.578365],"genre_scores_gemma":[0.9393984,0.0002255472,0.04930663,0.0007325339,0.0002809199,0.0002100241,0.0001179768,0.00004740707,0.009680544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7686147,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00685532740856237,"score_gpt":0.1850221828296343,"score_spread":0.178166855421072,"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."}}