{"id":"W2563246756","doi":"10.1186/s12889-016-3915-y","title":"Factors associated with male involvement in reproductive care in Bangladesh","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Biostatistics; Medicine; Reproductive health; Logistic regression; Public health; Demography; Health care; Literacy; Family planning; Gerontology; Environmental health; Family medicine; Population; Nursing; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153737,0.0001515453,0.0001816416,0.0005165646,0.0003697974,0.0004970874,0.0002339448,0.0002186795,0.004096802],"category_scores_gemma":[0.002422516,0.0001317797,0.0002183613,0.0009661898,0.0002765094,0.0002113926,0.000429728,0.0004494028,0.0002461817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321439,"about_ca_system_score_gemma":0.0004814875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434113,"about_ca_topic_score_gemma":0.0141705,"domain_scores_codex":[0.9994941,0.0001644894,0.0000678568,0.00005303424,0.0001306891,0.0000897937],"domain_scores_gemma":[0.9984401,0.0002787421,0.0007597342,0.00004991293,0.0001112555,0.0003602312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001606251,0.00002349624,0.9969931,0.00001936185,0.00001456054,0.00009822569,0.0004133453,0.00001225821,0.00006145265,0.0000314463,0.0001367112,0.002179952],"study_design_scores_gemma":[0.000001865887,0.00004665615,0.9973288,0.00003333688,0.000009033959,0.000306621,0.001572812,0.00005433028,0.00002347753,0.00002026443,0.0005989644,0.000003870147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960321,0.0009535666,0.00004705913,0.0004492519,0.000008979508,0.00001885088,0.0004228776,0.000002712155,0.002064598],"genre_scores_gemma":[0.9992754,0.0003672955,0.00003594085,0.00003402052,0.000005440708,0.000005536157,0.0001027398,7.098326e-7,0.0001730099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01434113,"threshold_uncertainty_score":0.02851528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08580030535421097,"score_gpt":0.3349356229328704,"score_spread":0.2491353175786595,"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."}}