{"id":"W1939006902","doi":"10.1002/9781118625392.wbecp075","title":"Jury Selection and Voir Dire","year":2015,"lang":"en","type":"other","venue":"The Encyclopedia of Clinical Psychology","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Jury; Jury selection; Statutory law; Selection (genetic algorithm); Law; Constitution; Hung jury; Political science; Jury instructions; Psychology; Process (computing); Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00339743,0.0001685521,0.0005980512,0.0001162767,0.00009481653,0.00001073726,0.000597196,0.000820198,0.001495807],"category_scores_gemma":[0.004137904,0.0001180314,0.00009103648,0.0003303414,0.001211433,0.00003588357,0.0000869059,0.0005471423,0.0002395642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008958316,"about_ca_system_score_gemma":0.0003624276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001900004,"about_ca_topic_score_gemma":0.002537682,"domain_scores_codex":[0.9972845,0.0009345774,0.0006824149,0.0004303858,0.0004122799,0.0002558035],"domain_scores_gemma":[0.9973552,0.001336857,0.0006483521,0.0003768197,0.0001334158,0.0001494143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004004601,0.00006010723,0.0006562344,0.000009811984,0.00002844271,0.000001322363,0.0003503506,8.02275e-8,1.06005e-7,0.001122654,0.8770752,0.1206556],"study_design_scores_gemma":[0.0002822812,0.0001052765,0.003019752,0.00004275645,0.00004689626,0.000001955232,0.00008275094,3.447271e-7,4.936731e-8,0.01356771,0.9827247,0.0001255128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007370437,0.002034038,0.0000498773,0.00269541,0.0033271,0.0002634876,0.00001600777,0.0001317414,0.9907453],"genre_scores_gemma":[0.002292367,0.01936753,0.0007161575,0.0009309869,0.003824379,0.00001234712,0.000005247871,0.0001511297,0.9726999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1205301,"threshold_uncertainty_score":0.9994169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1623336046325334,"score_gpt":0.5432831920107165,"score_spread":0.3809495873781831,"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."}}