{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001830972,0.0001333935,0.0005469207,0.0006835691,0.0001261697,0.00007065512,0.0000788605,0.00004802119,0.0002668285],"category_scores_gemma":[0.0003597918,0.0001158202,0.00003585915,0.0004108959,0.00006385358,0.0001677674,0.00000728619,0.0005172805,0.000002840092],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004604324,"about_ca_system_score_gemma":0.2908852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885017,"about_ca_topic_score_gemma":0.9989224,"domain_scores_codex":[0.9975002,0.0001398257,0.0008715432,0.0001561329,0.0002963221,0.00103601],"domain_scores_gemma":[0.9940059,0.00007419727,0.0001556381,0.0001123602,0.00009482101,0.005557126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003706852,0.00002828307,0.1979262,0.003746196,0.00007549464,0.001942978,0.009362191,0.000004716914,0.000001381556,0.008633242,0.3184668,0.4597755],"study_design_scores_gemma":[0.002467389,0.001622805,0.1596469,0.001560946,0.000009465839,0.00538563,0.02903904,0.0004080162,0.000001113881,0.0005779889,0.7990105,0.000270163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.662611,0.03489118,0.00003938541,0.2993797,0.001232144,0.0002744196,0.00008466849,0.000008532265,0.001478913],"genre_scores_gemma":[0.9683027,0.0007661896,0.0002400683,0.03033441,0.0001775776,0.00000196524,0.000009477655,0.00001857968,0.0001489832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4805438,"threshold_uncertainty_score":0.9992168,"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."}}