{"id":"W88085452","doi":"","title":"Beyond Case Reporters: Using Newspapers to Supplement the Legal-Historical Record","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Inclusion (mineral); Law; Political science; Sociology; Social 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":[],"consensus_categories":[],"category_scores_codex":[0.04719023,0.0004752444,0.0009821657,0.0204634,0.003023005,0.01514783,0.001777275,0.001668398,0.00738404],"category_scores_gemma":[0.2181251,0.0007705381,0.0002954474,0.01911976,0.003818377,0.01973676,0.006236656,0.002155827,0.00225803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809601,"about_ca_system_score_gemma":0.003806832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155537,"about_ca_topic_score_gemma":0.008404954,"domain_scores_codex":[0.9585229,0.03216513,0.002659271,0.001679136,0.004285499,0.0006880059],"domain_scores_gemma":[0.5867773,0.3123529,0.0318059,0.03477074,0.03012158,0.004171627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004825467,0.0003296077,0.06004687,0.002696047,0.0001520162,0.00116059,0.286173,0.0002230267,0.0025439,0.04868903,0.05110078,0.5464026],"study_design_scores_gemma":[0.0001293062,0.0004758317,0.04940032,0.006029009,0.000284171,0.001262104,0.1634206,0.001028854,0.004918613,0.02490099,0.747937,0.000213193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5471192,0.04351666,0.03696709,0.08501373,0.007151165,0.0015502,0.009600604,0.001009928,0.2680714],"genre_scores_gemma":[0.8925585,0.02001088,0.04587254,0.01141588,0.005986864,0.000948553,0.003699817,0.0005138689,0.01899316],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04719023,"threshold_uncertainty_score":0.2495688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066371057703599,"score_gpt":0.366231877846979,"score_spread":0.335568167269943,"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."}}