{"id":"W4386296210","doi":"10.38087/2595.8801.209","title":"A BIOESTATISTICA ASSOCIADA A EPIDEMIOLOGIA NA ATENÇÃO BÁSICA DE SAÚDE","year":2023,"lang":"pt","type":"article","venue":"COGNITIONIS Scientific Journal","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; SciELO; Philosophy; MEDLINE; Political 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":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01753583,0.0005362289,0.0007484165,0.001260466,0.005552151,0.004383004,0.002317708,0.0004798377,0.0004083205],"category_scores_gemma":[0.01171595,0.0005432426,0.0004379794,0.00388386,0.001121481,0.0008679476,0.0007832487,0.002167012,0.006914289],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359757,"about_ca_system_score_gemma":0.005698504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034131,"about_ca_topic_score_gemma":0.00007897575,"domain_scores_codex":[0.9899086,0.002437586,0.001643193,0.001521599,0.001667965,0.002821079],"domain_scores_gemma":[0.9918877,0.00293777,0.001062066,0.0009910358,0.001511312,0.001610098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009730141,0.0006620129,0.0346028,0.000762876,0.0004950718,0.006071605,0.03049836,0.0005357102,0.007065319,0.004711049,0.7304807,0.1840172],"study_design_scores_gemma":[0.005737995,0.001347696,0.2026035,0.004958648,0.0005899184,0.009718325,0.00568352,0.4965783,0.001694256,0.1827431,0.08410294,0.004241798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3529023,0.001063386,0.5830564,0.03378325,0.02451867,0.0009800233,0.0009070578,0.00137174,0.001417141],"genre_scores_gemma":[0.9757969,0.0003991586,0.009363963,0.003106656,0.0009593242,0.00004828683,0.0001136958,0.00007371459,0.01013827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6463777,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091225130940037,"score_gpt":0.3724164660797551,"score_spread":0.2632939529857514,"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."}}