{"id":"W2011663064","doi":"10.1363/3218506","title":"Using Strength of Fertility Motivations to Identify Family Planning Program Strategies","year":2006,"lang":"en","type":"article","venue":"International Family Planning Perspectives","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Fertility; Family planning; Population; Quarter (Canadian coin); Limiting; Ambivalence; Developing country; Demography; Psychology; Economic growth; Geography; Social psychology; Sociology; Economics; Research methodology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001358314,0.0001939868,0.0002862354,0.0002834776,0.0001134369,0.00008387357,0.0001858072,0.00007501484,0.00002208765],"category_scores_gemma":[0.00007522659,0.0001794596,0.0001060922,0.0002410106,0.00008780088,0.000230309,0.00006645759,0.0002088082,0.00000890681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466882,"about_ca_system_score_gemma":0.0001590505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744952,"about_ca_topic_score_gemma":0.000006269102,"domain_scores_codex":[0.9983705,0.00003342446,0.0004318997,0.0003603193,0.0005284649,0.0002753828],"domain_scores_gemma":[0.999075,0.00006338771,0.0001493416,0.0001635988,0.0004436404,0.0001050485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008890214,0.001430573,0.8523913,0.0001442237,0.0003388725,0.0001210089,0.005597841,0.01787609,0.1033183,0.01540193,0.001908333,0.0005825185],"study_design_scores_gemma":[0.000550084,0.0001794295,0.9780496,0.000506185,0.00003365776,0.00001881122,0.01738401,0.0008575117,0.0005412181,0.0008975284,0.0008375056,0.000144483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707472,0.0005067067,0.001775562,0.0003425702,0.0003828183,0.0003749778,0.00008520795,0.0001455031,0.02563944],"genre_scores_gemma":[0.9916888,0.000004418146,0.007471161,0.0001866784,0.0003736291,0.00001584857,0.00005509868,0.00001818898,0.0001861801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1256583,"threshold_uncertainty_score":0.7318149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06503556925420259,"score_gpt":0.4140605930552163,"score_spread":0.3490250238010137,"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."}}