{"id":"W3182910316","doi":"10.21680/1982-1662.2021v4n31id25024","title":"POLÍTICA PÚBLICA JUDICIÁRIA DE INTELIGÊNCIA ARTIFICIAL","year":2021,"lang":"pt","type":"article","venue":"Revista Inter-Legere","topic":"Brazilian Legal Issues","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political 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":[0.003480039,0.0006580048,0.0005213679,0.001289061,0.002861515,0.01350657,0.001252653,0.003530945,0.01654099],"category_scores_gemma":[0.007092717,0.0003851841,0.0008299249,0.00181085,0.01447404,0.007234401,0.003794571,0.005627433,0.002567331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008467305,"about_ca_system_score_gemma":0.004747062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005412393,"about_ca_topic_score_gemma":0.004766456,"domain_scores_codex":[0.9950412,0.002474222,0.000169205,0.000863351,0.001079357,0.0003728034],"domain_scores_gemma":[0.9958835,0.001815258,0.0004946338,0.001022086,0.0005234269,0.0002610614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005443912,0.000005495941,0.0001643448,0.00002340081,0.000003831103,0.00001727964,0.0004737223,0.0001980721,0.00004983445,0.993573,0.0019393,0.003546364],"study_design_scores_gemma":[0.00001308813,0.0000149514,0.0009534625,0.0001814984,0.00001479872,0.00009014245,0.0006741479,0.001551112,0.0002387227,0.8000313,0.1962219,0.00001486343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02063988,0.007835414,0.04808782,0.04831647,0.0005465798,0.00005050603,0.0002343053,0.0002452635,0.8740437],"genre_scores_gemma":[0.8929935,0.005865971,0.01310792,0.005532552,0.0006532259,0.0001613348,0.0002246475,0.0001765591,0.08128428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01654099,"threshold_uncertainty_score":0.06143486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04565481303577503,"score_gpt":0.3606728898484748,"score_spread":0.3150180768126998,"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."}}