{"id":"W2613662462","doi":"10.21902/2525-9822/2016.v2i2.1530","title":"Excesso de prazo nas prisões preventivas: Um paradigma temporal nas decisões da 2° Câmara Criminal do Tribunal de Justiça do Estado do Ceará?","year":2017,"lang":"pt","type":"article","venue":"REVISTA DE DIREITO DE FAMÍLIA E SUCESSÃO (Index Law Journals)","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tribunal; Criminal procedure; State (computer science); Economic Justice; Law; Political science; Quarter (Canadian coin); Humanities; Criminal justice; Habeas corpus; Sociology; Geography; Philosophy; Archaeology; Mathematics","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":[0.006416844,0.0002276651,0.0004502883,0.002294629,0.003521924,0.007938433,0.001585084,0.001848313,0.009549631],"category_scores_gemma":[0.02519904,0.0003506817,0.0003972955,0.001809675,0.009691634,0.009582551,0.003806383,0.002632107,0.0005032843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004219697,"about_ca_system_score_gemma":0.005462222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267759,"about_ca_topic_score_gemma":0.02110623,"domain_scores_codex":[0.99449,0.001981366,0.0003118384,0.001144544,0.001461026,0.0006112092],"domain_scores_gemma":[0.985283,0.006524223,0.003609792,0.001685318,0.002071277,0.0008263731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002093583,0.00008392403,0.03253105,0.0002587074,0.00003405268,0.0003788467,0.0555514,0.0003158664,0.001470528,0.8733956,0.001917271,0.03385344],"study_design_scores_gemma":[0.00006786705,0.00028882,0.143389,0.001119476,0.0001577954,0.001055886,0.1711021,0.004240762,0.001493935,0.5377253,0.1392496,0.000109393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309832,0.003841927,0.03684198,0.03220803,0.0003924078,0.0002164174,0.0006507938,0.0001304248,0.2947348],"genre_scores_gemma":[0.9911097,0.000430503,0.003527425,0.000465389,0.00008943022,0.00006555772,0.00005645481,0.00002698084,0.004228541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01267759,"threshold_uncertainty_score":0.0339359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440481178227492,"score_gpt":0.3794886824490957,"score_spread":0.3250838706668208,"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."}}