{"id":"W3049455772","doi":"10.26668/indexlawjournals/2525-9695/2020.v6i1.6535","title":"A PROTEÇÃO DOS DADOS GENÉTICOS E O DIREITO CONSTITUCIONALÁ PRIVACIDADE","year":2020,"lang":"pt","type":"article","venue":"Revista de Biodireito e Direito dos Animais","topic":"Brazilian Legal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of University Research Administrators","funders":"","keywords":"Confidentiality; Personally identifiable information; Internet privacy; Humanities; Political science; Philosophy; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001843968,0.001875191,0.002461468,0.0003484055,0.002049467,0.002887959,0.003306177,0.001380742,0.002634362],"category_scores_gemma":[0.00327432,0.001985463,0.001331061,0.003039389,0.002531025,0.001437729,0.001053409,0.001817098,0.008525555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034319,"about_ca_system_score_gemma":0.002462486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300007,"about_ca_topic_score_gemma":0.00007994058,"domain_scores_codex":[0.9866284,0.001939915,0.002336549,0.00312579,0.002755849,0.003213533],"domain_scores_gemma":[0.9924262,0.0005124654,0.001281599,0.001707569,0.0007068489,0.00336531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002757419,0.003377005,0.09518083,0.007929177,0.003403008,0.004568214,0.08855262,0.00005549571,0.06471973,0.3840241,0.2933166,0.05211581],"study_design_scores_gemma":[0.001681794,0.0005678634,0.002547364,0.00106534,0.0006687638,0.000049914,0.00217684,0.001954342,0.002721462,0.0001500783,0.9838976,0.002518601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2960689,0.1194778,0.00652648,0.2716638,0.007226593,0.03779061,0.007418749,0.009367262,0.2444599],"genre_scores_gemma":[0.9824682,0.001874814,0.001382799,0.004571665,0.004776598,0.0004581777,0.0001281211,0.0003015948,0.004038059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.690581,"threshold_uncertainty_score":0.9999157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06313289185269873,"score_gpt":0.3243740788908861,"score_spread":0.2612411870381874,"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."}}