{"id":"W4398595861","doi":"10.7910/dvn/chx3nz","title":"PROSPERED Data manual: Child marriage policy database","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Database; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001914794,0.001465678,0.001349606,0.004921571,0.0007821285,0.002102413,0.002931247,0.001729318,0.1062047],"category_scores_gemma":[0.01019624,0.0008554616,0.001057729,0.0108525,0.0004260659,0.001848384,0.001749252,0.002731441,0.09113266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822864,"about_ca_system_score_gemma":0.004357298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02676941,"about_ca_topic_score_gemma":0.03761056,"domain_scores_codex":[0.99857,0.0002527017,0.0003162261,0.0003088418,0.0003765008,0.0001757251],"domain_scores_gemma":[0.9957045,0.001235878,0.0005153544,0.0008266279,0.001268822,0.0004487636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002069395,0.00001046875,0.000461634,0.0001672212,0.000008676158,0.000009148664,0.00001016324,0.00009419673,0.00001520225,0.0005383783,0.9973336,0.001330657],"study_design_scores_gemma":[0.0002431449,0.00001171787,0.004625117,0.0002886654,0.0000195225,0.0000672536,0.00008054648,0.0004153654,0.0001475052,0.002375248,0.9916983,0.00002763765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007332461,0.00003517807,0.00007662713,0.00006978743,0.00001483688,0.00001106646,0.9990233,0.0001850983,0.0005107744],"genre_scores_gemma":[0.0003097829,0.00005639279,0.0002826333,0.00005444639,0.000007497265,0.0001018058,0.9986073,0.00006752089,0.0005126816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1062047,"threshold_uncertainty_score":0.3552901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695437493787145,"score_gpt":0.3211728091878143,"score_spread":0.2942184342499428,"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."}}