{"id":"W6968764832","doi":"10.5281/zenodo.3695755","title":"G20 countries expenditure from 2012 to 2016","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education in Diverse Contexts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Developed country; Developing country; Health care; Data collection","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":[0.0006831679,0.001043063,0.0005113345,0.004622845,0.0003429902,0.001634869,0.0004296424,0.0005137246,0.01610737],"category_scores_gemma":[0.002354147,0.0002919715,0.0006240035,0.01183982,0.0002337203,0.0008628943,0.001589083,0.0007836441,0.01057912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508236,"about_ca_system_score_gemma":0.002822798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04108635,"about_ca_topic_score_gemma":0.03134734,"domain_scores_codex":[0.9990122,0.0001557141,0.0001041008,0.0001479068,0.0002355794,0.0003444339],"domain_scores_gemma":[0.9989237,0.00007802048,0.0004279981,0.00005807762,0.0002851542,0.000226947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008369892,0.00007887182,0.05413745,0.002201228,0.0003063313,0.0004725536,0.0008678392,0.002213162,0.0006005212,0.009382993,0.8502045,0.0786975],"study_design_scores_gemma":[0.00004025364,0.00006639065,0.1667719,0.0004793546,0.00008282543,0.0003452762,0.0006274795,0.000215052,0.0004994468,0.0003832619,0.8304652,0.00002359156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07062934,0.007393883,0.0003147281,0.002304198,0.000788999,0.00008872506,0.8467386,0.0006739376,0.07106757],"genre_scores_gemma":[0.1881403,0.01454161,0.0009875873,0.001459879,0.0004465278,0.0003938273,0.7345474,0.0003486874,0.05913431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04108635,"threshold_uncertainty_score":0.08169436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06068407379158326,"score_gpt":0.2981033082068552,"score_spread":0.2374192344152719,"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."}}