{"id":"W1982222965","doi":"10.5539/ibr.v3n2p136","title":"Fertility, Health and Female Labour Force Participation in Urban Cameroon","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Economics; Labour supply; Demographic economics; Population; Labour economics; Affect (linguistics); Demography; Sociology","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":[0.00105537,0.0002231403,0.0001924727,0.0007053777,0.0004342681,0.0004580724,0.0001758198,0.0002704725,0.003192348],"category_scores_gemma":[0.00203418,0.0001886765,0.0002261381,0.0009503079,0.0004037899,0.0003348109,0.0004766583,0.0003281801,0.0001776209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006964108,"about_ca_system_score_gemma":0.0004889794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04930034,"about_ca_topic_score_gemma":0.05725405,"domain_scores_codex":[0.9996505,0.0001991305,0.00001100763,0.0000263402,0.00001694153,0.00009621769],"domain_scores_gemma":[0.9992472,0.0003768727,0.0002344441,0.00001953771,0.00003205026,0.00008996006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008343469,0.00005772472,0.9925414,0.00001959595,0.00002912475,0.0002543638,0.0007281072,0.0006104047,0.0001331457,0.0003543821,0.0002591166,0.004929007],"study_design_scores_gemma":[0.000005603201,0.00007610778,0.9955641,0.00003020572,0.0000188578,0.0001364698,0.001913995,0.001492527,0.00006796768,0.0001228679,0.0005659727,0.000005305389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990774,0.0002922979,0.0000772536,0.0001375853,0.00000301669,0.000004227275,0.0001105407,0.000001130063,0.000296531],"genre_scores_gemma":[0.999405,0.0002220709,0.00003788024,0.00001668032,0.00000343064,0.000005347845,0.00006454821,4.469158e-7,0.0002444707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04930034,"threshold_uncertainty_score":0.09802675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07185199666812507,"score_gpt":0.4477060036536621,"score_spread":0.375854006985537,"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."}}