{"id":"W2253976974","doi":"","title":"Accommodating Justice: Victim Impact Statements in the Sentencing Process","year":2015,"lang":"en","type":"book","venue":"UTS ePRESS (University of Technology Sydney)","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Criminology; Process (computing); Political science; Psychology; Law; Computer science","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":[0.001637297,0.0003552489,0.0001933285,0.0008556992,0.002818676,0.005366207,0.0008168863,0.001700811,0.004779316],"category_scores_gemma":[0.004001319,0.0001704508,0.0001776477,0.0009256225,0.003420964,0.004686535,0.002025268,0.002754315,0.001131554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103029,"about_ca_system_score_gemma":0.003087203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667737,"about_ca_topic_score_gemma":0.01016204,"domain_scores_codex":[0.9983359,0.001003563,0.00004254665,0.00005314707,0.0004606863,0.0001041016],"domain_scores_gemma":[0.9988927,0.0008065326,0.00005658439,0.00004998372,0.0001391391,0.00005509689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001697121,0.00004554131,0.0004255729,0.0001763101,0.000004505336,0.0003581133,0.03869967,0.0007833743,0.0004220373,0.7591701,0.07726648,0.1226314],"study_design_scores_gemma":[0.000004801662,0.00004087809,0.00211704,0.0007444703,0.000009079486,0.0004824618,0.02747242,0.00101451,0.0006771814,0.1694188,0.7979879,0.00003041153],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01824166,0.01318284,0.02069708,0.01554138,0.002282046,0.0001395518,0.00007852921,0.0001616881,0.9296753],"genre_scores_gemma":[0.38092,0.01184379,0.0139736,0.004153174,0.0008360286,0.000194677,0.0002015462,0.0002094981,0.5876676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005366207,"threshold_uncertainty_score":0.01598841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523062061701,"score_gpt":0.3581298389563138,"score_spread":0.3228992183393038,"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."}}