{"id":"W2599540835","doi":"10.2139/ssrn.2869326","title":"Victim Impact Statements at Sentencing: The Relevance of Ancillary Harm","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Relevance (law); Harm; Criminology; Sentencing guidelines; Political science; Deterrence (psychology); Law; Psychology; Computer science; Sentence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02220502,0.0004377196,0.0005627697,0.004399845,0.003099843,0.004425041,0.001956389,0.003818315,0.01153338],"category_scores_gemma":[0.2270965,0.0003299542,0.0005012646,0.002501786,0.002699756,0.009244517,0.004270578,0.004820938,0.001231552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241097,"about_ca_system_score_gemma":0.003018787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046524,"about_ca_topic_score_gemma":0.00700052,"domain_scores_codex":[0.979216,0.01270158,0.001406787,0.000993257,0.004510278,0.00117216],"domain_scores_gemma":[0.800684,0.1478665,0.02596968,0.006340252,0.01501459,0.004125074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005047507,0.00254326,0.5578728,0.001390972,0.0004180603,0.004975502,0.03214622,0.001899772,0.0009474036,0.07168497,0.01673108,0.3043425],"study_design_scores_gemma":[0.000165652,0.001185815,0.8024579,0.00249197,0.000674511,0.004022804,0.04335711,0.008013756,0.002482986,0.1173961,0.01749155,0.0002598243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8822308,0.002426829,0.004840649,0.01482651,0.0006959309,0.0001777169,0.0006865007,0.00006163792,0.09405342],"genre_scores_gemma":[0.9954517,0.0004879998,0.00101992,0.000577383,0.0002714338,0.00003647033,0.0001240321,0.00001722043,0.002013954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02220502,"threshold_uncertainty_score":0.1174328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195998417244064,"score_gpt":0.3669219951907091,"score_spread":0.3449620110182684,"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."}}