{"id":"W3026208531","doi":"10.29173/wclawr11","title":"Thirty Years of Innocence","year":2020,"lang":"en","type":"article","venue":"The Wrongful Conviction Law Review","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Innocence; Conviction; Law; Political science; Criminal justice; State (computer science); Criminology; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01017061,0.0002870133,0.0003583989,0.003244608,0.002345943,0.003243075,0.001183982,0.0008777095,0.004575886],"category_scores_gemma":[0.0387313,0.0004454971,0.0004523253,0.005286595,0.001795842,0.003393834,0.005497413,0.003544014,0.001296837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405785,"about_ca_system_score_gemma":0.006086086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238917,"about_ca_topic_score_gemma":0.03473355,"domain_scores_codex":[0.9901921,0.001853647,0.00206929,0.001209838,0.003661852,0.001013327],"domain_scores_gemma":[0.9686847,0.00765207,0.008782353,0.004230158,0.007587899,0.003062767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002648051,0.0001543743,0.2703441,0.001727544,0.0001978644,0.001144634,0.01564246,0.0008528382,0.0008085012,0.07773722,0.1425292,0.4885965],"study_design_scores_gemma":[0.0000078587,0.0002148386,0.2982974,0.003492906,0.00004541794,0.0008495139,0.006591449,0.000341938,0.001178802,0.006945724,0.6819394,0.00009473135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4894762,0.140556,0.01670203,0.1358731,0.01260566,0.0005815898,0.03885621,0.0005914604,0.1647579],"genre_scores_gemma":[0.8360863,0.07117298,0.007172338,0.02578175,0.003312768,0.0003950011,0.0254556,0.0001846591,0.0304385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238917,"threshold_uncertainty_score":0.05378795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861672530730595,"score_gpt":0.3296277602944598,"score_spread":0.2810110349871539,"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."}}