{"id":"W1813242488","doi":"","title":"The Language of Supreme Court Briefs: A Large-Scale Quantitative Investigation","year":2010,"lang":"en","type":"article","venue":"The Journal of Appellate Practice and Process","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Law; Skepticism; Political science; Scope (computer science); Majority opinion; Sociology; Psychology; Computer science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02811152,0.0002641615,0.0004939095,0.008646303,0.00381812,0.005765091,0.001429145,0.001110783,0.003719846],"category_scores_gemma":[0.1401995,0.0005503542,0.0003287162,0.0119951,0.004559476,0.006824879,0.003453378,0.001545223,0.0005799474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004777394,"about_ca_system_score_gemma":0.003059195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005490893,"about_ca_topic_score_gemma":0.008265975,"domain_scores_codex":[0.9673048,0.02059893,0.003751439,0.001690257,0.005849261,0.0008053821],"domain_scores_gemma":[0.7758425,0.1629989,0.03441065,0.005128768,0.01849708,0.003122085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002990683,0.0007696945,0.2150655,0.003676261,0.00009225545,0.0009291339,0.6742414,0.000273411,0.003619352,0.01112897,0.009229815,0.08067518],"study_design_scores_gemma":[0.00002744084,0.0004511401,0.2370184,0.001521535,0.0000368341,0.0003592456,0.7121471,0.0006094296,0.000845158,0.001800529,0.04508084,0.0001023545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867947,0.0008867838,0.002585744,0.001116889,0.00005005793,0.0008141054,0.001520279,0.00002647965,0.006204849],"genre_scores_gemma":[0.9888535,0.001019849,0.003623754,0.0006140313,0.00007846127,0.002804638,0.001477326,0.00003873432,0.001489806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9913537,"threshold_uncertainty_score":0.1486697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534471768660764,"score_gpt":0.3886354509415238,"score_spread":0.3632907332549162,"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."}}