{"id":"W4392014285","doi":"10.17269/s41997-024-00853-1","title":"Menstrual health inequities and “period poverty” in Canada","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Agricultural Research Institute of Ontario; University of Ottawa","funders":"","keywords":"Poverty; Reproductive health; Menstrual period; Economic growth; Public health; Socioeconomics; Environmental health; Political science; Medicine; Business; Population; Sociology; Economics; Gynecology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0007266139,0.0001509318,0.0005053034,0.00231733,0.006189126,0.002655015,0.001212051,0.0007810616,0.007878145],"category_scores_gemma":[0.003554247,0.0003846718,0.0008954578,0.007665392,0.001297388,0.0006694462,0.002150808,0.002056178,0.0001587579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05387538,"about_ca_system_score_gemma":0.1081259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974183,"about_ca_topic_score_gemma":0.9986742,"domain_scores_codex":[0.9982889,0.0001072866,0.00008458464,0.000092147,0.0002684195,0.001158528],"domain_scores_gemma":[0.9958044,0.0002705271,0.0007771608,0.00007620358,0.001040624,0.002031131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002392594,0.000155971,0.927988,0.0002492854,0.0002225267,0.000504195,0.006218557,0.0005718323,0.0001040352,0.008885494,0.0194068,0.03545401],"study_design_scores_gemma":[0.00002327705,0.00002511634,0.977774,0.0003324045,0.00006135294,0.000141203,0.009118032,0.0003609869,0.00004427802,0.0006596029,0.01142598,0.00003373461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459672,0.007425989,0.0001248254,0.01832365,0.000175746,0.00007515198,0.008618494,0.00002062586,0.01926836],"genre_scores_gemma":[0.9934162,0.002759985,0.00009112594,0.0008327223,0.00003317362,0.0000168101,0.0007475117,0.000007675349,0.002094856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05387538,"threshold_uncertainty_score":0.3908951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034232829236335,"score_gpt":0.3074949899020877,"score_spread":0.2571526616097244,"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."}}