{"id":"W4362512660","doi":"10.22215/etd/2023-15352","title":"Participation during Deliberation as a Function of Individual Juror Traits: An Examination of the First Hypothesis of The Story Sampling Model from Devine (2012)’s Multi-Level Theory of Jury Decision Making","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Jury; Deliberation; Psychology; Function (biology); Sampling (signal processing); Social psychology; Epistemology; Law; Political science; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00969743,0.0002042224,0.0004963256,0.001039507,0.00082587,0.002207532,0.000770142,0.001323549,0.004094903],"category_scores_gemma":[0.1145919,0.0004628808,0.0007961721,0.0011719,0.00160896,0.002792773,0.002916284,0.002357288,0.0004857305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005960118,"about_ca_system_score_gemma":0.0007551059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835714,"about_ca_topic_score_gemma":0.00132092,"domain_scores_codex":[0.9916881,0.004871537,0.0004152575,0.001124271,0.001119555,0.0007812908],"domain_scores_gemma":[0.7699732,0.1933782,0.01977303,0.008494899,0.004159768,0.004220971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002481444,0.001286631,0.8524778,0.0002275304,0.0004382477,0.0003777776,0.05524172,0.003410789,0.006884193,0.007109328,0.0006566634,0.06940789],"study_design_scores_gemma":[0.00004030364,0.000349997,0.9829593,0.00002711692,0.00008016047,0.0001547976,0.005007007,0.005652926,0.0007943671,0.004330902,0.000556743,0.00004641102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921277,0.00007785003,0.003996867,0.000297543,0.000006137656,0.00004963427,0.00005743384,0.00001165411,0.003375196],"genre_scores_gemma":[0.9982294,0.00004464647,0.001094862,0.00004988617,0.00000940383,0.00005396754,0.00006562212,0.000008931677,0.0004432696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00969743,"threshold_uncertainty_score":0.05128551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649920360323933,"score_gpt":0.3738991262652589,"score_spread":0.2089070902328656,"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."}}