{"id":"W7033824314","doi":"","title":"Searching and Seizing After 9/11: Developing and Applying\\nEmpirical Methodology to Measure Judicial Output inthe\\nSupreme Court's Section 8 Jurisprudence","year":2012,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Charter; Jurisprudence; Operationalization; Judicial review; Judicial activism; Judicial opinion; Context (archaeology); Judicial interpretation; Judicial independence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00783556,0.0004823531,0.0003666228,0.008344395,0.003186851,0.005225031,0.001344491,0.0007521724,0.001566937],"category_scores_gemma":[0.02107997,0.0003254644,0.0005469241,0.008808407,0.006116134,0.003491793,0.002949711,0.001513773,0.0002221911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0143057,"about_ca_system_score_gemma":0.008655672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2512359,"about_ca_topic_score_gemma":0.3293176,"domain_scores_codex":[0.9941003,0.002307272,0.0003223392,0.0005860326,0.002255887,0.0004281953],"domain_scores_gemma":[0.9868418,0.005400033,0.004398768,0.0008766957,0.002007215,0.000475498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001387467,0.0003866139,0.7091527,0.0001709784,0.0001473767,0.0002566455,0.115495,0.005479115,0.001921806,0.09204532,0.002054032,0.07275163],"study_design_scores_gemma":[0.00003346457,0.0003158697,0.8256953,0.0002030278,0.00008850411,0.0001431406,0.09768404,0.02692123,0.003717512,0.02856369,0.01643938,0.0001948063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387885,0.0003974707,0.02381181,0.0006355862,0.00002075127,0.0004843442,0.0007645083,0.00003122034,0.03506596],"genre_scores_gemma":[0.984601,0.000181412,0.01284035,0.00007721325,0.000007335303,0.0003155871,0.0004122307,0.00001018019,0.001554817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2512359,"threshold_uncertainty_score":0.4995471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06535281236063992,"score_gpt":0.2981588792079103,"score_spread":0.2328060668472704,"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."}}