{"id":"W623769803","doi":"","title":"大規模かつ街レベルの地中熱利用ヒートポンプシステムの調査と開発について, Shicong Zhang, Wei Xu and Zhijian Liu : Research and Development of Large Scale and City Level Ground Source Heat Pump System [11thIEA Heat Pump Conference 2014, May 12-16 2014, Montreal (Quebec) Canada proceedings, May 2014, Session 3 : Heat Pump Applications in Residential and Commercial Buildings KN.1.3.1 pp.1-10](環境工学,文献抄録)","year":2014,"lang":"ja","type":"article","venue":"建築雑誌","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heat pump; Zhàng; Urban heat island; Scale (ratio); Meteorology; Engineering; Mechanical engineering; History; Geography; Cartography; Heat exchanger; China; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002591558,0.0009806211,0.001510741,0.0005181059,0.001967576,0.0006905723,0.0006509034,0.0008304315,0.0001836425],"category_scores_gemma":[0.00007088832,0.0009804999,0.00008700362,0.0005083547,0.0008783282,0.0006388213,0.001060984,0.0009854231,0.00002147983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814095,"about_ca_system_score_gemma":0.0009592238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9246308,"about_ca_topic_score_gemma":0.9625469,"domain_scores_codex":[0.9928971,0.0005088249,0.001735567,0.00196816,0.001218434,0.001671934],"domain_scores_gemma":[0.9965125,0.0005033984,0.0003712485,0.0008221199,0.0007223695,0.001068416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00352076,0.004748905,0.5066745,0.02558852,0.002097686,0.00009463449,0.05964853,0.001735068,0.09313326,0.1089833,0.1169263,0.07684854],"study_design_scores_gemma":[0.00839685,0.0004554206,0.5582917,0.003857695,0.0003099069,0.0002429762,0.02132755,0.01159594,0.0156819,0.0003273972,0.3763894,0.00312326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988881,0.002268686,0.001135016,0.002742677,0.0001932233,0.001935696,0.0003447551,0.0001008522,0.002398099],"genre_scores_gemma":[0.9917572,0.0008950911,0.0002775864,0.0001098159,0.0004468145,0.0006398672,0.000217319,0.0001438601,0.005512502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2594631,"threshold_uncertainty_score":0.9993317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191994515653581,"score_gpt":0.2692910860835694,"score_spread":0.2373711409270336,"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."}}