{"id":"W2061119647","doi":"10.7705/biomedica.v25i3.1364","title":"Tiempo para quedar en embarazo: consideraciones generales y metodológicas.","year":2005,"lang":"es","type":"article","venue":"Biomédica","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epidemiology; Selection bias; Population; Pregnancy; Demography; Sample size determination; Sample (material); Medicine; Statistics; Environmental health; Mathematics; Sociology; Physics; Biology; Internal medicine","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":[0.001027036,0.0004158251,0.0004916968,0.0001062449,0.0005783323,0.0001538356,0.0004331155,0.0004146364,0.009828787],"category_scores_gemma":[0.0001789323,0.0003785062,0.000171555,0.0003027672,0.0007429455,0.0004771917,0.0002662338,0.0003390414,0.01340588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003766328,"about_ca_system_score_gemma":0.000164687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007379177,"about_ca_topic_score_gemma":0.0001788111,"domain_scores_codex":[0.9963933,0.0005524573,0.0007373789,0.0006781005,0.0006904532,0.0009482906],"domain_scores_gemma":[0.9979914,0.0003202157,0.0002800868,0.0006098251,0.00001719803,0.0007812644],"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":[0.0002776103,0.001402345,0.05018815,0.0004828882,0.0002042454,0.0001336649,0.00604412,0.000556239,0.02245879,0.01732207,0.4942702,0.4066597],"study_design_scores_gemma":[0.0005048235,0.000190739,0.1252206,0.00008697607,0.0000522622,0.000042975,0.0001635878,0.0008580851,0.005353877,0.0003874295,0.8666513,0.000487419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7422466,0.01242542,0.0004439498,0.2254785,0.0005814731,0.0009295036,0.0003287038,0.0002975491,0.01726831],"genre_scores_gemma":[0.9563808,0.004782278,0.01366071,0.02091147,0.001172356,0.00002408732,0.00003097266,0.00004911341,0.00298814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4061722,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655522398230855,"score_gpt":0.3489744149454463,"score_spread":0.2834221751223608,"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."}}