{"id":"W2353846660","doi":"","title":"Comment on landscape design of residential quarters based on microclimate optimization:a case of Journalist's Homestead in Yancheng city","year":2012,"lang":"en","type":"article","venue":"Zhongnan Linye Keji Daxue xuebao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microclimate; Quarter (Canadian coin); Wind speed; Environmental science; Relative humidity; Landscape design; Meteorology; Air temperature; Geography; Physical geography; Environmental resource management; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008814596,0.0001928421,0.000346509,0.0002811842,0.0001100538,0.00004326909,0.0001456478,0.0001048301,0.0005068115],"category_scores_gemma":[0.00006657612,0.0001553566,0.00008998584,0.0002881117,0.00006171227,0.0001705854,0.000006901393,0.0002208947,0.00002091812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001132479,"about_ca_system_score_gemma":0.00005012352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007364,"about_ca_topic_score_gemma":0.0004339728,"domain_scores_codex":[0.9982879,0.0003522935,0.0004908371,0.0002080214,0.0002765856,0.0003844064],"domain_scores_gemma":[0.9988205,0.000395021,0.000269525,0.0003038509,0.00004599697,0.0001650888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005522271,0.0002259612,0.1405054,0.00006956418,0.00002392469,0.0001957571,0.0008863414,0.8525975,0.00005382489,0.00001243467,0.002701278,0.002175792],"study_design_scores_gemma":[0.004371418,0.00139651,0.0825882,0.0009386451,0.0001021215,0.0002952631,0.001437734,0.9035352,0.00375536,0.0000601776,0.0008277679,0.0006915319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893937,0.0003044836,0.006220972,0.0008335087,0.0006900973,0.0003328939,0.0001168742,0.00003026859,0.002077223],"genre_scores_gemma":[0.9935494,0.00004596429,0.00576863,0.0003998786,0.0001268158,2.792435e-7,0.00007338839,0.000008556566,0.00002706006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05791722,"threshold_uncertainty_score":0.633526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624751638979069,"score_gpt":0.2395897422272284,"score_spread":0.2133422258374377,"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."}}