{"id":"W6920947540","doi":"10.6084/m9.figshare.14274232.v1","title":"Additional file 1 of Determinants of unmet need for family planning in Gambia & Mozambique: implications for women’s health","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Family planning; Flowchart; Population; Health services; Work (physics); Data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001818353,0.0006206556,0.0007389121,0.002339417,0.001135233,0.001236579,0.001430367,0.0007352182,0.8122116],"category_scores_gemma":[0.02821539,0.0005331829,0.0007704378,0.003934095,0.0002411512,0.001631571,0.0009910841,0.0009589691,0.07126357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256705,"about_ca_system_score_gemma":0.002760198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04389659,"about_ca_topic_score_gemma":0.06219132,"domain_scores_codex":[0.999447,0.0001941709,0.00008573133,0.00008799772,0.00008579013,0.00009921818],"domain_scores_gemma":[0.9822595,0.01377809,0.0009769944,0.0005514731,0.002032564,0.0004014505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001410223,0.0001159479,0.005629887,0.00203734,0.00002590652,0.00004748326,0.0003088565,0.0003525701,0.00002520641,0.001102668,0.9810101,0.009202997],"study_design_scores_gemma":[0.006813949,0.0004380542,0.1499425,0.01493599,0.0003595942,0.0005791892,0.006416475,0.003892653,0.0006840643,0.01391671,0.8017964,0.0002244772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006973692,0.00002236172,0.0002138708,0.000188062,0.00001860414,0.0004521649,0.9962131,0.00007521309,0.00211931],"genre_scores_gemma":[0.04038496,0.0004182973,0.01085497,0.001025174,0.0001173576,0.0282491,0.8891558,0.0005162311,0.0292781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8122116,"threshold_uncertainty_score":0.2678573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07767722227250852,"score_gpt":0.3633433627354782,"score_spread":0.2856661404629697,"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."}}