{"id":"W3121367803","doi":"","title":"Courts, Sentencing and Justice in a Changing Political and Managerial Context","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Criminal justice; Context (archaeology); Economic Justice; Quarter (Canadian coin); Criminology; Law; Independence (probability theory); Judicial independence; Mass incarceration; Sociology; Law and economics","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":[0.004337563,0.0002394329,0.0004263143,0.004104727,0.008769786,0.01767947,0.0008125702,0.003967138,0.00440261],"category_scores_gemma":[0.01011154,0.0003209117,0.0001443115,0.004592614,0.02471947,0.008429303,0.003406664,0.004450268,0.0002543991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009841647,"about_ca_system_score_gemma":0.007054277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035401,"about_ca_topic_score_gemma":0.02869717,"domain_scores_codex":[0.9875343,0.008915639,0.0002321393,0.000598488,0.001516299,0.001203183],"domain_scores_gemma":[0.9911016,0.00526099,0.001484041,0.0001706286,0.0009251133,0.001057526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002492251,0.00006603861,0.002749293,0.00009419363,0.00001051234,0.0005485481,0.01626965,0.0004555508,0.0001885579,0.9593034,0.003619479,0.01666977],"study_design_scores_gemma":[0.00003500161,0.0002448244,0.0419538,0.0009200134,0.00002987312,0.001146086,0.1167224,0.001328448,0.0004458041,0.5004067,0.3366086,0.0001584317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3867544,0.06847481,0.005083485,0.2056496,0.001665137,0.00004101757,0.0001015036,0.00004322855,0.3321868],"genre_scores_gemma":[0.9822599,0.00753374,0.000733154,0.003926243,0.001044432,0.00001468881,0.00001415166,0.00001511749,0.004458502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767947,"threshold_uncertainty_score":0.07140648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212765542884613,"score_gpt":0.2928631422094287,"score_spread":0.2807354867805826,"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."}}