{"id":"W2769987870","doi":"10.1177/1478210317739467","title":"Payment in heaven: Can early childhood education policies help women too?","year":2017,"lang":"en","type":"article","venue":"Policy Futures in Education","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Early childhood education; Early childhood; Economic growth; Government (linguistics); Payment; Politics; Sociology; Political science; Public relations; Psychology; Business; Economics; Law; Developmental psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005151252,0.0001794285,0.000190481,0.0004772138,0.001246017,0.0003780762,0.0006765181,0.0001521105,0.00008315009],"category_scores_gemma":[0.0007266527,0.0001923145,0.00005024262,0.0003597145,0.0001885092,0.0005354852,0.00004143411,0.0002076708,0.00001972461],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852357,"about_ca_system_score_gemma":0.009248715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3623989,"about_ca_topic_score_gemma":0.13036,"domain_scores_codex":[0.9982249,0.0001982096,0.0003170673,0.0003235443,0.0003293491,0.0006068874],"domain_scores_gemma":[0.9987616,0.00005009874,0.0002456783,0.0006100221,0.0001009057,0.0002316765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000007531433,0.001136102,0.1910648,0.00001619671,0.000007920766,1.227014e-7,0.5726661,0.00000360469,0.00001166896,0.0812249,0.00909113,0.1447699],"study_design_scores_gemma":[0.0001539825,0.00001876253,0.8062358,0.00005352869,0.000003008822,7.780927e-7,0.07968999,2.979956e-7,0.00003124645,0.01823337,0.09540299,0.0001762518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773903,0.0007727177,3.245338e-7,0.06723224,0.002676352,0.0004402081,0.00001178846,0.00003080149,0.0514453],"genre_scores_gemma":[0.9854579,0.001239896,0.00006194157,0.002935213,0.005898739,0.000295222,0.00003248342,0.00001965685,0.004058958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.615171,"threshold_uncertainty_score":0.9963679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024919385664824,"score_gpt":0.3253439877126949,"score_spread":0.3150947938560467,"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."}}