{"id":"W2897988594","doi":"10.6084/m9.figshare.21780","title":"Education attainment index scores, 1990/1–2000/1","year":2011,"lang":"en","type":"article","venue":"Figshare","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Indigenous; Human rights; Political science; Human Development Index; Geography; Economic growth; Socioeconomics; Human development (humanity); Sociology; Economics; Law; Computer science","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":[0.0006519923,0.0005075843,0.0003321568,0.005691129,0.0004068509,0.0008249325,0.0007914177,0.0004797466,0.007166754],"category_scores_gemma":[0.002569119,0.0001752703,0.0002964833,0.006218837,0.0001943375,0.0007496957,0.000849293,0.001117789,0.004879394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481552,"about_ca_system_score_gemma":0.001457248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1764103,"about_ca_topic_score_gemma":0.21415,"domain_scores_codex":[0.9994699,0.00004652747,0.00008208549,0.0000802357,0.0001902896,0.0001309395],"domain_scores_gemma":[0.9984828,0.00008006721,0.0004017864,0.00005101511,0.0007840039,0.0002003457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009004133,0.0005479215,0.4954362,0.0008337586,0.0002190988,0.0001207789,0.001071805,0.001445654,0.0005502728,0.001987172,0.4393948,0.05749207],"study_design_scores_gemma":[0.00002691964,0.00007608673,0.9587284,0.00005188105,0.00002523838,0.0000392725,0.0002177851,0.0001912247,0.0001927238,0.00007866243,0.04036327,0.000008470116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1779716,0.0007903927,0.0003504631,0.0008738249,0.0002902835,0.0001954017,0.7793782,0.0004989311,0.03965086],"genre_scores_gemma":[0.2359003,0.0008369467,0.0006123183,0.0002784345,0.0000932984,0.000207747,0.7309207,0.00007334118,0.031077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1764103,"threshold_uncertainty_score":0.3507671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225183145945095,"score_gpt":0.3670504054997749,"score_spread":0.2445320909052654,"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."}}