{"id":"W4380683593","doi":"10.35621/23587490.v10.n1.p421-433","title":"INTERFERÊNCIAS DOS FATORES PRÉ-ANALÍTICOS NOS EXAMES LABORATORIAIS","year":2023,"lang":"pt","type":"article","venue":"Revista interdisciplinar em saúde","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Medicine; Gynecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009169831,0.001259544,0.00114831,0.003162236,0.001205696,0.003344693,0.001170949,0.001521088,0.004377209],"category_scores_gemma":[0.01621736,0.0006068335,0.0008510785,0.002129014,0.001195587,0.001064401,0.001598703,0.001148362,0.001815837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037176,"about_ca_system_score_gemma":0.001895477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332804,"about_ca_topic_score_gemma":0.002653813,"domain_scores_codex":[0.9858823,0.004937301,0.001451123,0.001320021,0.005617936,0.0007912879],"domain_scores_gemma":[0.9849273,0.005026303,0.003309129,0.001092404,0.005161759,0.0004830442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004597136,0.001434052,0.4799564,0.007880885,0.0005393209,0.003416745,0.01444571,0.0005341997,0.2310217,0.001166392,0.005493786,0.2495137],"study_design_scores_gemma":[0.0001038864,0.008813408,0.5831851,0.003369478,0.001181788,0.0107051,0.01576308,0.002117521,0.287423,0.002332681,0.0847378,0.0002670842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132478,0.03309446,0.02434101,0.002803814,0.0006868331,0.001344657,0.002224948,0.0006882424,0.0215681],"genre_scores_gemma":[0.9332367,0.01091104,0.03648528,0.001646112,0.0002658343,0.001077454,0.001262116,0.0001388813,0.01497654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009169831,"threshold_uncertainty_score":0.04849529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656477184746759,"score_gpt":0.2882313458548567,"score_spread":0.2616665740073891,"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."}}