{"id":"W1608436198","doi":"10.1002/9781405198431.wbeal0630","title":"Language of Jury Instructions","year":2012,"lang":"en","type":"other","venue":"The Encyclopedia of Applied Linguistics","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jury; Blame; Adversarial system; Jury trial; Hung jury; Law; Jury instructions; Context (archaeology); Political science; Psychology; Civil procedure; Social psychology; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004625364,0.0001725124,0.0003546734,0.0001651651,0.0001116809,0.000009127938,0.0006792175,0.0002803369,0.00199827],"category_scores_gemma":[0.001364712,0.0001355832,0.00007162114,0.0002621734,0.0006614077,0.000004956099,0.0001048454,0.0002428957,0.000125271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002147277,"about_ca_system_score_gemma":0.0002943559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003867323,"about_ca_topic_score_gemma":0.0003674855,"domain_scores_codex":[0.9986431,0.00004330471,0.0003520788,0.00016167,0.0005446029,0.0002552257],"domain_scores_gemma":[0.9983543,0.0003774474,0.0006094825,0.000476581,0.0001120192,0.00007020992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000163048,0.00008337177,0.0000260216,0.0001864492,0.00007004487,0.000001083253,0.01372654,0.00000549252,0.000005873955,0.6316282,0.3038372,0.05041348],"study_design_scores_gemma":[0.00007058789,0.000005728411,0.00002743837,0.00005181174,0.0001112117,1.367654e-7,0.002120821,1.669734e-7,0.00002778351,0.004640958,0.9928062,0.0001371434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000698696,0.0009466963,0.00004851507,0.00001630977,0.002545505,0.0002766195,0.00009301156,0.0001062992,0.9958972],"genre_scores_gemma":[0.06706193,0.004460228,0.01334856,0.00006285479,0.01333826,0.00003074536,0.00002978798,0.0004386614,0.901229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6889691,"threshold_uncertainty_score":0.9989141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149193237685581,"score_gpt":0.3111204251866301,"score_spread":0.296201101418072,"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."}}