{"id":"W2616540463","doi":"","title":"エコロジカル・フットプリント指標を用いた環境負荷の地域間キャップ&トレード制度の提案-“身の丈にあった国土利用”に向けた新たなフレームワークの構築‐","year":2008,"lang":"ja","type":"article","venue":"都市計画論文集","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00208562,0.0003326804,0.0001795876,0.0007473781,0.002827416,0.004562141,0.0005497521,0.001317986,0.01580926],"category_scores_gemma":[0.003881813,0.0002561304,0.0002465523,0.0004365062,0.007741785,0.003113888,0.000969214,0.001705183,0.002423166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571647,"about_ca_system_score_gemma":0.004252315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00729315,"about_ca_topic_score_gemma":0.008369871,"domain_scores_codex":[0.9988137,0.0002918656,0.00006270039,0.000187319,0.0005076178,0.0001367356],"domain_scores_gemma":[0.9978963,0.0007269303,0.0002053199,0.0001950345,0.0007374045,0.0002389508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001920945,0.00004290259,0.001386291,0.00005595851,0.00001461289,0.00009722513,0.003640286,0.0002696195,0.0008324811,0.9609987,0.005805944,0.02683677],"study_design_scores_gemma":[0.00002039228,0.0001121515,0.008381902,0.000237833,0.00005393348,0.000319007,0.01325544,0.001001858,0.01015922,0.6245843,0.3418188,0.0000552561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05969238,0.002224197,0.01570364,0.01301675,0.0006078992,0.0000996275,0.0001054116,0.00005462412,0.9084954],"genre_scores_gemma":[0.8437387,0.001495676,0.0091586,0.002460538,0.0002649764,0.00009314527,0.00007596345,0.00004252439,0.1426699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01580926,"threshold_uncertainty_score":0.05288726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368655892348474,"score_gpt":0.1967917901910197,"score_spread":0.1831052312675349,"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."}}