{"id":"W7038662489","doi":"","title":"Jena McGill & Amy Salyzyn: Judicial Analytics","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Economic Justice; Software; Judicial review","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":[0.00387891,0.0003758377,0.000333933,0.001137786,0.01062541,0.009176115,0.001466369,0.006386308,0.04005653],"category_scores_gemma":[0.01860811,0.0004663988,0.0003100537,0.001359469,0.004454372,0.01139032,0.004337264,0.00803949,0.01155595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005806974,"about_ca_system_score_gemma":0.00936139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09432966,"about_ca_topic_score_gemma":0.1681656,"domain_scores_codex":[0.9960448,0.0008869317,0.0001263603,0.0005316444,0.001884869,0.000525525],"domain_scores_gemma":[0.9915308,0.003412283,0.0003998194,0.0003327623,0.002532498,0.001791755],"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":[0.000004683876,0.000008273468,0.0002465611,0.00001933189,0.000001258871,0.00004993471,0.0008339543,0.00001945663,0.00006618082,0.01897201,0.9698867,0.009891606],"study_design_scores_gemma":[0.000002984408,0.000004171878,0.0005135706,0.00008396671,0.000001895349,0.00004857225,0.002173914,0.00008678938,0.0001212618,0.009120927,0.9878218,0.00002021503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001170402,0.007590691,0.001468116,0.8922522,0.005620822,0.00003181789,0.0001775571,0.0002754181,0.09141302],"genre_scores_gemma":[0.05020093,0.006763538,0.002494972,0.4176087,0.00440934,0.0001372876,0.0001433992,0.0004626288,0.5177792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09432966,"threshold_uncertainty_score":0.1875612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715540708337738,"score_gpt":0.2416296883867114,"score_spread":0.214474281303334,"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."}}