{"id":"W2619958706","doi":"","title":"エコロジカル・フットプリント指標を用いた都市整備手法が都市撤退に及ぼす環境影響評価- 都市インフラネットワークの維持・管理に着目して -","year":2007,"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":"Political 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":[0.001254079,0.0002779748,0.0001861248,0.0006544739,0.002567906,0.00385984,0.0004181835,0.0008315849,0.01317345],"category_scores_gemma":[0.002247769,0.0001639192,0.0001999321,0.0004096395,0.00610576,0.002770568,0.0009119895,0.001212161,0.001871842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987441,"about_ca_system_score_gemma":0.003813717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007162836,"about_ca_topic_score_gemma":0.008068046,"domain_scores_codex":[0.9992131,0.000181574,0.00003338541,0.0001375902,0.0003273538,0.000107013],"domain_scores_gemma":[0.9987495,0.0003796699,0.0001059143,0.0001034617,0.0004910817,0.0001702186],"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":[0.00002217159,0.00005224827,0.002077734,0.00005625273,0.00001244833,0.0001182973,0.004151484,0.0002557208,0.0009861557,0.9562737,0.00428673,0.03170704],"study_design_scores_gemma":[0.00002148537,0.0001239438,0.01052517,0.0001549687,0.00005353018,0.0004261797,0.01427481,0.001029974,0.007361029,0.7025964,0.2633876,0.00004500185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08290838,0.002476795,0.01297188,0.009122855,0.0004503745,0.00007479924,0.000104718,0.00005956183,0.8918306],"genre_scores_gemma":[0.8633713,0.001234944,0.006752551,0.001056566,0.0002145449,0.0000559924,0.00006064341,0.00003167861,0.1272217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01317345,"threshold_uncertainty_score":0.04406959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008838859552172675,"score_gpt":0.2162814297824929,"score_spread":0.2074425702303203,"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."}}