{"id":"W3020761700","doi":"10.21902/revistajur.2316-753x.v1i54.3753","title":"JUDICIALIZAÇÃO E ATIVISMO JUDICIAL EM PERSPECTIVA: UMA ANÁLISE A PARTIR DAS EXPERIÊNCIAS DAS SUPREMAS CORTES DO BRASIL E DO CANADÁ","year":2020,"lang":"pt","type":"article","venue":"Revista Jurídica","topic":"Brazilian Legal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão","keywords":"Supreme court; Tribunal; Political science; Humanities; Constitutional court; Law; Philosophy; Constitution","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001317077,0.00133187,0.002356806,0.0002702488,0.002190025,0.002247158,0.002241084,0.0008662734,0.008084737],"category_scores_gemma":[0.004068296,0.001434951,0.0008820762,0.0033778,0.002030126,0.001111092,0.0006751376,0.001423853,0.001496677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194114,"about_ca_system_score_gemma":0.002761516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01787192,"about_ca_topic_score_gemma":0.01241881,"domain_scores_codex":[0.9885557,0.001799164,0.001823409,0.002579802,0.002837366,0.002404507],"domain_scores_gemma":[0.9938687,0.0005533809,0.001077047,0.001364241,0.0006276844,0.002508949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005172928,0.0006945414,0.02147373,0.0005758982,0.0006623205,0.0009520412,0.5322905,0.000008524382,0.0006379655,0.06501987,0.3624007,0.01476658],"study_design_scores_gemma":[0.001769948,0.0008647692,0.01036021,0.001329741,0.0008385773,0.00001974479,0.146841,0.0004609058,0.0003596305,0.0008682126,0.8334898,0.002797438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044711,0.06751884,0.0003058415,0.05647899,0.003350164,0.004659715,0.0008255237,0.001468825,0.06092098],"genre_scores_gemma":[0.986967,0.001878054,0.0001115621,0.003282939,0.005250396,0.0001076273,0.00005377423,0.0002464786,0.002102204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4710891,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04918817570909483,"score_gpt":0.3545068244506242,"score_spread":0.3053186487415294,"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."}}