{"id":"W6886216842","doi":"10.15027/53924","title":"国立総合大学における内部資源配分の現状と考察","year":2023,"lang":"en","type":"other","venue":"Hiroshima University Acedemic Information Repository (Hiroshima University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redistribution (election); Aside; Christian ministry; Presidential system; Block grant; Quarter (Canadian coin)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01557825,0.0003270678,0.0002054123,0.0009020869,0.003487721,0.003953961,0.0006863876,0.001003728,0.004373449],"category_scores_gemma":[0.007818093,0.0004233905,0.0002801992,0.001101028,0.004429522,0.003097957,0.001262266,0.002105262,0.00140166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004627455,"about_ca_system_score_gemma":0.006987127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01690048,"about_ca_topic_score_gemma":0.02513442,"domain_scores_codex":[0.9945369,0.002336838,0.0004184422,0.0006513011,0.001582616,0.0004739023],"domain_scores_gemma":[0.9932706,0.002360698,0.000827586,0.0004710245,0.002406967,0.0006632024],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001927236,0.0003951454,0.0462753,0.001103096,0.00008829609,0.00372406,0.1911977,0.004255795,0.02402582,0.3507962,0.06339636,0.3145496],"study_design_scores_gemma":[0.00004302409,0.0003852911,0.04401633,0.0004702975,0.00006851921,0.001828354,0.1184861,0.008099359,0.01435327,0.04439864,0.7675729,0.0002780403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4322592,0.004673405,0.1205034,0.02723027,0.000789777,0.001297859,0.0004656828,0.0005378659,0.4122426],"genre_scores_gemma":[0.9008149,0.001565675,0.04200689,0.00287484,0.0001280704,0.0004116809,0.000180605,0.00009626387,0.0519211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9844217,"threshold_uncertainty_score":0.08238667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006507094414995879,"score_gpt":0.1657082479016639,"score_spread":0.159201153486668,"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."}}