{"id":"W4382067204","doi":"10.3390/su151310014","title":"How Do Spatial Forms Influence Psychophysical Drivers in a Campus City Community Life Circle?","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Noise Effects and Management","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Fujian Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Spatial distribution; China; Transport engineering; Geography; Distribution (mathematics); Spatial analysis; Computer science; Remote sensing; Engineering","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":[0.0006489049,0.0001829063,0.0002193971,0.0004999473,0.0006429106,0.001272963,0.0003371716,0.0003853089,0.002731564],"category_scores_gemma":[0.003750917,0.00017093,0.0003694322,0.0004460759,0.0005909833,0.0008425303,0.0008934443,0.0003512772,0.0003743714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000532534,"about_ca_system_score_gemma":0.0004985703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01610358,"about_ca_topic_score_gemma":0.0286803,"domain_scores_codex":[0.9994307,0.0001978976,0.00003416801,0.0001135421,0.0001034052,0.000120178],"domain_scores_gemma":[0.9981679,0.0003788175,0.0005519933,0.000134788,0.0003307979,0.0004357249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009388025,0.00009518702,0.9905657,0.00001764752,0.00004592306,0.00006360038,0.00252222,0.0001041667,0.0003409947,0.0001688561,0.0002247654,0.005757019],"study_design_scores_gemma":[0.000002164079,0.00005800135,0.9911273,0.0000101574,0.00001680944,0.00004149857,0.007333663,0.0004825126,0.00007991053,0.000151537,0.0006876834,0.000008828404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985983,0.00007574492,0.0002261216,0.0001392881,0.000008643922,0.00001094315,0.00006034163,0.000002603636,0.0008780003],"genre_scores_gemma":[0.9995311,0.00004471202,0.00007939598,0.00001790335,0.000004146462,0.000006444621,0.00004644741,0.000001577284,0.0002682161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01610358,"threshold_uncertainty_score":0.03201967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209777122591773,"score_gpt":0.3812476919002745,"score_spread":0.3591499206743568,"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."}}