{"id":"W2358815512","doi":"","title":"The Combination of Green Space and Parking Lots in Residential Quarters","year":2001,"lang":"en","type":"article","venue":"Journal of Zhejiang Water Conservancy and Hydropower College","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Parking space; Space (punctuation); Transport engineering; Agricultural economics; Geography; Green house; Business; Architectural engineering; Engineering; Computer science; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896829,0.0001625009,0.0002024703,0.0008781081,0.0006799816,0.001378479,0.0003606107,0.0004174055,0.00218971],"category_scores_gemma":[0.000878571,0.0002387467,0.0004105085,0.001111283,0.001219726,0.001632797,0.001009278,0.0002324954,0.0001426545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006563591,"about_ca_system_score_gemma":0.0004354801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344036,"about_ca_topic_score_gemma":0.003648938,"domain_scores_codex":[0.9995528,0.0001875346,0.00002017084,0.00006176356,0.00009755304,0.00008016846],"domain_scores_gemma":[0.9994759,0.0001717844,0.0001340652,0.00005150368,0.00009471459,0.00007213605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001252028,0.0002494509,0.2139322,0.0005393593,0.0002226765,0.00655501,0.005091378,0.03213748,0.01718433,0.5219675,0.008341095,0.1925275],"study_design_scores_gemma":[0.00007381841,0.0008146999,0.2861952,0.0001863147,0.0003152604,0.01291359,0.01973467,0.09695706,0.01710794,0.4963555,0.06902595,0.0003199756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9066272,0.001916183,0.04882721,0.002133526,0.0001550356,0.00003031565,0.0001571539,0.0001208478,0.04003258],"genre_scores_gemma":[0.9960117,0.0001491675,0.002223379,0.00002453478,0.00001962311,0.000002620947,0.00001113827,0.000004009232,0.001553806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00218971,"threshold_uncertainty_score":0.007325292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007875327304529266,"score_gpt":0.2236044401974407,"score_spread":0.2157291128929114,"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."}}