{"id":"W2612469431","doi":"","title":"ウォーターサプライ・フットプリント指標を用いた都市活動配置評価-水利用・循環の視点から地区整備を考える-","year":2006,"lang":"ja","type":"article","venue":"環境システム研究論文集","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":[0.001222742,0.000258108,0.0001769036,0.0006297691,0.002532342,0.004668246,0.0004685189,0.0009759096,0.01454888],"category_scores_gemma":[0.002485152,0.000210608,0.0002014981,0.0004883449,0.006732048,0.003398233,0.0008768121,0.001278818,0.002292695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002921921,"about_ca_system_score_gemma":0.00317771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006950707,"about_ca_topic_score_gemma":0.007423114,"domain_scores_codex":[0.9993172,0.000149402,0.00003065304,0.0001414495,0.0002808369,0.00008063149],"domain_scores_gemma":[0.9989673,0.0002991298,0.00008686347,0.0000970497,0.0004271572,0.0001226152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001828807,0.00003283322,0.001230346,0.00003967042,0.000009212068,0.00008513172,0.004149137,0.000238331,0.0006581073,0.9661954,0.003494235,0.02384938],"study_design_scores_gemma":[0.00001998043,0.00007857158,0.006828657,0.0001194822,0.00004517256,0.0002776312,0.01142525,0.001039784,0.004390927,0.7498899,0.2258484,0.00003620414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05995289,0.002001958,0.01816465,0.008213065,0.0005240199,0.00008338635,0.00009234183,0.0000551585,0.9109125],"genre_scores_gemma":[0.8249292,0.001115407,0.009229551,0.001054271,0.0002266301,0.00005633935,0.0000589963,0.00003449899,0.1632951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01454888,"threshold_uncertainty_score":0.04867083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00550079218055063,"score_gpt":0.1847540634998373,"score_spread":0.1792532713192867,"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."}}