{"id":"W2934420758","doi":"10.1080/01639625.2019.1597321","title":"Deviant Peer Preferences: A Simplified Approach to Account for Peer Selection Effects","year":2019,"lang":"en","type":"article","venue":"Deviant Behavior","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Respondent; Selection (genetic algorithm); Preference; Psychology; Measure (data warehouse); Social psychology; Peer effects; Peer review; Computer science; Statistics; Machine learning; Mathematics; Data mining; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007357566,0.0001669078,0.0002309521,0.00009534913,0.0003332557,0.0002252314,0.0002978751,0.0001393262,0.0006753415],"category_scores_gemma":[0.0001690684,0.0001361702,0.0002035342,0.0002944651,0.00002973352,0.0002272526,0.00004804902,0.0001320794,0.0003423935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658993,"about_ca_system_score_gemma":0.00008460799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637548,"about_ca_topic_score_gemma":0.00221686,"domain_scores_codex":[0.9982325,0.00009022394,0.0002566319,0.0004151132,0.000544715,0.0004607595],"domain_scores_gemma":[0.9989336,0.00009549972,0.00008282237,0.0001781898,0.0005357665,0.0001741776],"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":[0.0003240061,0.005926813,0.447878,0.0009621339,0.0002651517,0.000008354095,0.04623971,0.00009035019,0.05319199,0.02589653,0.1542724,0.2649445],"study_design_scores_gemma":[0.001279186,0.0008114628,0.3085727,0.0002177648,0.0003784634,0.00000766642,0.005576556,0.0003089982,0.004660087,0.0001976064,0.6770257,0.0009638164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837775,0.00002556584,0.003656002,0.0005031215,0.0006716292,0.002873781,0.00007905744,0.0001122504,0.008301067],"genre_scores_gemma":[0.9801302,0.00000241638,0.001104721,0.0002108919,0.0002098978,0.001244568,0.00009112557,0.00001690263,0.01698931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5227532,"threshold_uncertainty_score":0.7394516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07053491490895855,"score_gpt":0.37525434195719,"score_spread":0.3047194270482314,"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."}}