{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007967482,0.0001060477,0.0002398095,0.0002156009,0.00008848529,0.00004774282,0.0001241693,0.00006018842,0.000009465944],"category_scores_gemma":[0.00002458383,0.00007124706,0.00004212356,0.0001426926,0.000100356,0.0002204852,0.0000329047,0.0002107497,0.000002277296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004262616,"about_ca_system_score_gemma":0.00002122783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185936,"about_ca_topic_score_gemma":0.0006626967,"domain_scores_codex":[0.9988442,0.0001130232,0.0004617021,0.00008351589,0.000263208,0.0002343559],"domain_scores_gemma":[0.9994864,0.0001594381,0.0000864583,0.0001147407,0.00008639493,0.00006650295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00250297,0.0003476201,0.8387637,0.001690829,0.0011093,0.003928642,0.02479697,0.001749273,0.08910456,0.003418549,0.02438471,0.008202942],"study_design_scores_gemma":[0.02338575,0.002419401,0.5678263,0.005032257,0.0002768389,0.006833478,0.0102769,0.07265424,0.05741701,0.01390738,0.2380314,0.001939065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955028,0.001864381,0.00009224879,0.001396746,0.0003956486,0.0001358541,0.000002126613,0.000009212436,0.0006009441],"genre_scores_gemma":[0.9989612,0.0004623527,0.00003672845,0.00001096347,0.00006469957,0.000002214335,3.52343e-7,0.00001582514,0.0004456562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2709374,"threshold_uncertainty_score":0.2905371,"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."}}