{"id":"W7146203171","doi":"","title":"付加価値税の政府間割当て : 国際比較の視点から","year":2001,"lang":"ja","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Process (computing); Work (physics); Product (mathematics); Set (abstract data type); Information system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003529269,0.0004305142,0.000470933,0.003452808,0.004585984,0.0119031,0.001046259,0.002023565,0.07893518],"category_scores_gemma":[0.01355358,0.0006968629,0.000277877,0.008608818,0.002926943,0.01320912,0.003085914,0.001947901,0.02961755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004790006,"about_ca_system_score_gemma":0.008938533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04472845,"about_ca_topic_score_gemma":0.04782558,"domain_scores_codex":[0.9957644,0.0006191707,0.0004027814,0.0006576313,0.001988381,0.0005675747],"domain_scores_gemma":[0.9890046,0.002112831,0.001270557,0.000942855,0.004959731,0.001709405],"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":[0.0005495055,0.0002089079,0.05732806,0.0006605773,0.00003364222,0.001099578,0.01293031,0.0006196371,0.00129512,0.09811084,0.5829133,0.2442506],"study_design_scores_gemma":[0.00004446492,0.00007614313,0.05552455,0.0004941361,0.0000557731,0.001283584,0.01135881,0.0008597219,0.004138991,0.01733517,0.9087452,0.0000834064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08748965,0.02447867,0.01489981,0.05706368,0.002236549,0.0005577361,0.01236259,0.001652306,0.7992589],"genre_scores_gemma":[0.4210163,0.02193663,0.01982779,0.002784532,0.0009157803,0.0003626111,0.01715234,0.001049599,0.5149543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07893518,"threshold_uncertainty_score":0.2640645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764729157683722,"score_gpt":0.3105883635547572,"score_spread":0.26294107197792,"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."}}