{"id":"W1847338122","doi":"10.3968/j.css.1923669720090501.001","title":"Power Relations and Contraceptive Use: Gender Differentials in Bangladesh","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Power (physics); Gender relations; Ethnology; Humanities; Gender studies; Demography; Philosophy","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":[0.00133207,0.0001619517,0.0002303485,0.0008440993,0.0006950675,0.0008458953,0.000233249,0.0003245494,0.006621506],"category_scores_gemma":[0.00602385,0.0001515236,0.0001760941,0.001444238,0.001244898,0.0008549902,0.0009754503,0.0003621389,0.000330682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008610693,"about_ca_system_score_gemma":0.0004978229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01643715,"about_ca_topic_score_gemma":0.01423852,"domain_scores_codex":[0.999136,0.0003892112,0.00005546516,0.0001110034,0.0001766595,0.000131639],"domain_scores_gemma":[0.9974784,0.00157416,0.0005505229,0.0001102523,0.000125989,0.0001605796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001153855,0.00007028497,0.9385816,0.00009030107,0.00004325303,0.0003876245,0.03571449,0.0001260215,0.000690484,0.003021325,0.0002836601,0.02087554],"study_design_scores_gemma":[0.000007186055,0.0001131816,0.9638193,0.00008183073,0.00001879957,0.000367879,0.03098145,0.0003040168,0.0001435198,0.001527882,0.002620948,0.00001410711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938386,0.0006968488,0.0002578699,0.00037149,0.000006432256,0.00001397265,0.0001145462,0.000001392811,0.004698962],"genre_scores_gemma":[0.9992022,0.0002816295,0.00005028037,0.00002301127,0.000003233489,0.000007172133,0.000025392,7.178631e-7,0.0004064709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01643715,"threshold_uncertainty_score":0.03268296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263529750547658,"score_gpt":0.2778484065448296,"score_spread":0.255213109039353,"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."}}