{"id":"W2589731603","doi":"","title":"市街地特性に着目した都市撤退(リバース・スプロール)の実態分析","year":2006,"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":[0.0009127581,0.0002013299,0.0001558245,0.0005520073,0.001837883,0.00243673,0.0003368375,0.0009078904,0.01509636],"category_scores_gemma":[0.002207174,0.0001832528,0.0002252127,0.0003518432,0.00382191,0.001727778,0.0007256776,0.001047118,0.003663681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463719,"about_ca_system_score_gemma":0.001898791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004628575,"about_ca_topic_score_gemma":0.003633286,"domain_scores_codex":[0.9993703,0.00008648563,0.00003692775,0.0001365247,0.000291297,0.00007851704],"domain_scores_gemma":[0.9989105,0.0002681582,0.0001295557,0.0001067973,0.0004668911,0.0001179928],"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":[0.00007303034,0.00008319925,0.003234911,0.0001230111,0.00002353495,0.0003673364,0.003519809,0.0004400136,0.008229075,0.8978835,0.00866545,0.07735714],"study_design_scores_gemma":[0.00003699483,0.0002703462,0.01641528,0.0001611617,0.00007723868,0.001481323,0.007070952,0.001526325,0.03455327,0.4751872,0.4631386,0.00008150603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1088667,0.002365537,0.0322945,0.007097072,0.001114518,0.0001237799,0.0002114863,0.0001312824,0.8477951],"genre_scores_gemma":[0.7986993,0.001609346,0.01808369,0.001309346,0.0004741394,0.00009223944,0.0001112252,0.000049543,0.1795712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01509636,"threshold_uncertainty_score":0.05050236,"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."}}