{"id":"W1979158643","doi":"10.12927/whp.2010.21723","title":"Use of Health Services by Women with Gynecological Symptoms in Rural China","year":2010,"lang":"en","type":"article","venue":"World health & population","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Medicine; Public health; Health services; Environmental health; Nursing; Political science; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003915715,0.0001576309,0.0001632367,0.0006748677,0.0004826019,0.00028701,0.0002708962,0.0002267868,0.001760031],"category_scores_gemma":[0.001591953,0.0001461966,0.0002351179,0.001103789,0.0003181221,0.0002402575,0.0004047097,0.000224405,0.00009290296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007211671,"about_ca_system_score_gemma":0.00104339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06347112,"about_ca_topic_score_gemma":0.07388595,"domain_scores_codex":[0.9996716,0.00008815693,0.00002837853,0.00003595945,0.00006334863,0.0001125967],"domain_scores_gemma":[0.9992616,0.00009516069,0.0003742593,0.00001738253,0.00005787132,0.0001937734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002148404,0.00002574104,0.9969216,0.00002202767,0.00001396848,0.0001173814,0.0005783779,0.00002291887,0.0001182138,0.00001346672,0.0001178564,0.002026854],"study_design_scores_gemma":[0.000004174778,0.00003589532,0.9985712,0.00001168179,0.000005218633,0.00009265884,0.001055286,0.00007249843,0.00001383912,0.000008607764,0.0001271223,0.0000017968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999335,0.0001306689,0.000006627843,0.0001328771,0.000002071183,0.00000705897,0.0001281879,9.219843e-7,0.0002566168],"genre_scores_gemma":[0.9996217,0.0001315475,0.00001436722,0.0000470828,0.00000349498,0.0000076093,0.00007733926,3.902895e-7,0.0000963592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06347112,"threshold_uncertainty_score":0.1262034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545646915173619,"score_gpt":0.317555043667941,"score_spread":0.3020985745162048,"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."}}