{"id":"W2809255349","doi":"10.1177/0093854818776998","title":"What Makes Race Salient? Juror Decision-Making in Same-Race Versus Cross-Race Identification Scenarios and the Influence of Expert Testimony","year":2018,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Verdict; Psychology; Race (biology); Salience (neuroscience); Eyewitness testimony; Social psychology; Convict; Criminology; White (mutation); Perception; Eyewitness identification; Law; Political science; Sociology; Gender studies; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439611,0.0001748993,0.0002611737,0.0001409411,0.000793299,0.0007824131,0.0004538434,0.0001375619,0.00003240118],"category_scores_gemma":[0.006312726,0.0001384304,0.00003897075,0.0004575654,0.002182628,0.001387207,0.0001768878,0.0001821643,0.0000180773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005134626,"about_ca_system_score_gemma":0.0001315317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643557,"about_ca_topic_score_gemma":0.001430944,"domain_scores_codex":[0.9979357,0.0001810127,0.000477823,0.0004620572,0.0006257289,0.000317693],"domain_scores_gemma":[0.9957314,0.002999735,0.0002951726,0.0003308718,0.0005503555,0.00009253701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002983551,0.0004499606,0.008048565,0.0003786664,0.00001292077,0.00004076216,0.1834231,0.0001584077,0.003396383,0.003263473,0.0003233399,0.7975208],"study_design_scores_gemma":[0.00340853,0.0003902575,0.7466383,0.001852573,0.002776287,0.00002328516,0.2388207,0.0003632059,0.00118906,0.0019932,0.001850937,0.0006936811],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963475,0.001662809,0.0002334016,0.0004392728,0.000844318,0.0003574145,0.000004176285,0.00003079089,0.00008032104],"genre_scores_gemma":[0.996352,0.001158056,0.001875417,0.0002285856,0.0001512201,0.00004509147,9.056041e-7,0.00001474342,0.0001739836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7968271,"threshold_uncertainty_score":0.8041983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05595039035116318,"score_gpt":0.4222295531914381,"score_spread":0.366279162840275,"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."}}