{"id":"W6963693030","doi":"10.22563/2525-7323.2025.v9.s3.p.76","title":"Brazilian Database: elaboração de base bibliográfica de estudos brasileiros na área de ATS","year":2025,"lang":"pt","type":"article","venue":"Jornal de Assistência Farmacêutica e Farmacoeconomia","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Data collection; Exploratory research; Population","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00865471,0.001726238,0.001863568,0.004548661,0.001691286,0.001746452,0.005704997,0.00137642,0.0006541534],"category_scores_gemma":[0.00179055,0.002119226,0.0009203198,0.006690889,0.0006168114,0.001561967,0.002143326,0.00443323,0.0009514707],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009238004,"about_ca_system_score_gemma":0.02360909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006099,"about_ca_topic_score_gemma":0.0008405087,"domain_scores_codex":[0.9843543,0.003229804,0.002900376,0.003032773,0.0009211364,0.005561662],"domain_scores_gemma":[0.9883697,0.002947261,0.001113111,0.003174107,0.0005414881,0.003854355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006983212,0.001139216,0.8113016,0.002155506,0.001156227,0.001972802,0.002067334,0.002201751,0.02921352,0.004558067,0.09571689,0.04781875],"study_design_scores_gemma":[0.004379602,0.0002237956,0.5352932,0.001024216,0.0007509565,0.0006023899,0.000231257,0.3670052,0.0119753,0.0005795698,0.07588678,0.002047732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6367871,0.003980395,0.3215876,0.02685417,0.003690548,0.001978563,0.001257418,0.001337111,0.002527018],"genre_scores_gemma":[0.9199452,0.001832102,0.01955176,0.05492419,0.0009812216,0.0003636144,0.00006863603,0.0002167599,0.002116452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3648034,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774700470737694,"score_gpt":0.3537677825623025,"score_spread":0.3260207778549255,"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."}}