{"id":"W4315702951","doi":"10.54751/revistafoco.v16n1-013","title":"POBREZA MENSTRUAL E OS IMPACTOS NA SAÚDE DA MULHER","year":2023,"lang":"pt","type":"article","venue":"Revista Foco","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Sociology; Political science; Philosophy","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009541232,0.0006117987,0.001078944,0.0003753527,0.0003190936,0.0001418473,0.0003153448,0.0004112846,0.004423962],"category_scores_gemma":[0.0006875959,0.0005536088,0.0003546808,0.001362649,0.0001952726,0.0001470535,0.0001711888,0.0007436692,0.0109456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756916,"about_ca_system_score_gemma":0.0009108302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000305701,"about_ca_topic_score_gemma":0.00001481016,"domain_scores_codex":[0.9952206,0.0002591854,0.001078947,0.0008271526,0.0008717845,0.001742355],"domain_scores_gemma":[0.9966241,0.0003194407,0.0003172044,0.001102647,0.0001556794,0.001480919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001968726,0.0006845395,0.05768804,0.01435841,0.0005840289,0.001244152,0.004593194,0.00001705314,0.00183754,0.006450982,0.7127813,0.1977921],"study_design_scores_gemma":[0.01132058,0.00249858,0.05857693,0.003660112,0.0007824257,0.0002204823,0.005265696,0.003419038,0.0002314169,0.0001404116,0.9122633,0.00162105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284332,0.01223978,0.0001869261,0.005461463,0.002843566,0.00477937,0.000538455,0.0008698837,0.04464731],"genre_scores_gemma":[0.9657245,0.001527843,0.00007479738,0.002696378,0.0009911341,0.00007977925,0.0003546703,0.0001553528,0.02839551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199482,"threshold_uncertainty_score":0.9996915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05430843843796204,"score_gpt":0.3739603137584513,"score_spread":0.3196518753204893,"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."}}