{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004985824,0.0002803574,0.0002665701,0.002955707,0.0004816173,0.0009380293,0.0004482329,0.0003240291,0.002735446],"category_scores_gemma":[0.01660459,0.0001537722,0.000373301,0.001329181,0.0004313103,0.0009693017,0.001429713,0.0005917529,0.0001652418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006426522,"about_ca_system_score_gemma":0.0008503575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982584,"about_ca_topic_score_gemma":0.0104379,"domain_scores_codex":[0.9986193,0.0006171259,0.0001908696,0.00007616158,0.0003537429,0.0001427712],"domain_scores_gemma":[0.9894145,0.004867066,0.004007938,0.0002633601,0.0009027391,0.000544332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003248125,0.00004299711,0.9823301,0.0001094586,0.00005245407,0.00003337695,0.0009482235,0.0001138401,0.0001107924,0.0002657235,0.000201394,0.01575918],"study_design_scores_gemma":[0.000007292819,0.0001174945,0.9921164,0.0001900255,0.00003343237,0.000245104,0.003651656,0.000786953,0.0002487424,0.0005221518,0.002068356,0.00001226266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855284,0.0009896588,0.001526468,0.000548225,0.00002126279,0.0003184611,0.001262073,0.00001006527,0.009795524],"genre_scores_gemma":[0.9953955,0.0004569234,0.002876314,0.00009402829,0.00001021424,0.0002209156,0.0004515717,0.000002684496,0.0004919495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004985824,"threshold_uncertainty_score":0.0263679,"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."}}