{"id":"W2187288104","doi":"","title":"RESEARCH REPORT CONDITIONAL SENTENCING IN CANADA: AN OVERVIEW OF RESEARCH FINDINGS","year":2000,"lang":"en","type":"article","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Criminology; Psychology","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.06369255,0.0001118027,0.000345914,0.001431375,0.0004915107,0.0002233302,0.002221248,0.00009136,0.01752942],"category_scores_gemma":[0.007806767,0.00007994731,0.00006116937,0.00709513,0.0009317158,0.0009700632,0.000296548,0.001283034,0.0003050275],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008178158,"about_ca_system_score_gemma":0.008576831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9052763,"about_ca_topic_score_gemma":0.8871789,"domain_scores_codex":[0.9805412,0.001660254,0.001264053,0.0009730704,0.01435314,0.001208331],"domain_scores_gemma":[0.9916336,0.004937268,0.00008114526,0.0009485183,0.00190673,0.0004927446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001492059,0.000248792,0.5599802,0.00004977905,0.00001312523,0.002368329,0.001625145,0.001005944,0.004872691,0.0287753,0.3406974,0.06021405],"study_design_scores_gemma":[0.0004621362,0.0001534704,0.8042699,0.0001437766,9.515098e-7,0.0002086459,0.02265167,0.006379778,0.004035375,0.09676041,0.06468139,0.0002524969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937014,0.0002318133,0.000009786946,0.002711141,0.00006251402,0.000261196,0.00001961895,0.000008311123,0.05968158],"genre_scores_gemma":[0.9745446,0.0002170425,0.000189611,0.0001370757,0.00007701211,0.00001784878,0.000008665385,0.000007531052,0.02480054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2760161,"threshold_uncertainty_score":0.9970436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6537312663114344,"score_gpt":0.6037914653628773,"score_spread":0.0499398009485571,"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."}}