{"id":"W2564769293","doi":"10.1136/jfprhc-2015-101383","title":"Curbing publicly-funded family planning services in Iran: who is affected?","year":2016,"lang":"en","type":"article","venue":"Journal of Family Planning and Reproductive Health Care","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"Social Sciences and Humanities Research Council of Canada; Nipissing University","keywords":"Family planning; Medicine; Socioeconomic status; Fertility; Population; Demography; Total fertility rate; Developing country; Logistic regression; Environmental health; Economic growth; Research methodology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009784896,0.000262875,0.0008410784,0.0004140228,0.0002207081,0.00004196572,0.0001404085,0.0001383932,0.000003777283],"category_scores_gemma":[0.00009948386,0.0001628001,0.0001043772,0.0003088658,0.00007436247,0.0003305649,0.00006088703,0.0005884161,0.000003813053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420451,"about_ca_system_score_gemma":0.0002698515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005930788,"about_ca_topic_score_gemma":0.000009699879,"domain_scores_codex":[0.9973599,0.0001699781,0.0008453562,0.0005252041,0.0005215066,0.00057808],"domain_scores_gemma":[0.998118,0.00008264996,0.0006705637,0.000291754,0.0004019429,0.000435045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209467,0.0001113457,0.9493518,0.001944362,0.0001121345,0.0004268237,0.0225528,0.00002721094,0.002720282,0.00004667496,0.006846525,0.01465056],"study_design_scores_gemma":[0.002725054,0.001287936,0.9557227,0.009327276,0.00003408637,0.0006536913,0.02017261,0.000007239131,0.0002390553,0.0001225199,0.009523939,0.0001838636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381044,0.04868504,0.00003885522,0.01119649,0.000616573,0.0002988891,0.00002364476,0.00003419911,0.00100191],"genre_scores_gemma":[0.9901748,0.001116649,0.0004789495,0.007034914,0.001027887,0.000002956011,0.000004368826,0.00002777687,0.0001317146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05207038,"threshold_uncertainty_score":0.6638798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914844699557244,"score_gpt":0.3415167570543017,"score_spread":0.3023683100587292,"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."}}