{"id":"W2968122298","doi":"10.1590/0102-311x00071518","title":"Incorporação de tecnologias nos sistemas de saúde do Canadá e do Brasil: perspectivas para avanços nos processos de avaliação","year":2019,"lang":"pt","type":"article","venue":"Cadernos de Saúde Pública","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Organisation de Coopération et de Développement Économiques","keywords":"Humanities; Political science; Gynecology; Philosophy; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.007740864,0.001419631,0.001884793,0.0009094441,0.001960139,0.001111067,0.004206763,0.003026674,0.00365122],"category_scores_gemma":[0.009171335,0.0015321,0.0006923101,0.003001789,0.001452107,0.001135041,0.0007048324,0.003734302,0.002372254],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01147821,"about_ca_system_score_gemma":0.02794911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03387074,"about_ca_topic_score_gemma":0.01397594,"domain_scores_codex":[0.9837466,0.002960548,0.002037258,0.00263668,0.002308036,0.006310867],"domain_scores_gemma":[0.9890952,0.002177242,0.001634765,0.002152678,0.001004101,0.003936047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004796297,0.001546855,0.6818663,0.002963592,0.0007896372,0.0007011878,0.1285464,0.0002675944,0.005158989,0.02548105,0.1404524,0.0117463],"study_design_scores_gemma":[0.005557798,0.001343884,0.2543667,0.002109829,0.0006872941,0.0009380442,0.0693424,0.004728867,0.00290422,0.0107456,0.6420252,0.005250185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7709,0.004641781,0.001459436,0.08876289,0.002285221,0.006674964,0.0005000395,0.001524451,0.1232512],"genre_scores_gemma":[0.9643683,0.0007828645,0.001826588,0.009186512,0.001792916,0.0006749071,0.0000299929,0.0002944545,0.02104344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5015728,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05614395983395952,"score_gpt":0.3515348711001993,"score_spread":0.2953909112662397,"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."}}