{"id":"W7054965947","doi":"","title":"ASSESSING PUBLIC PARKS FOR CHILDREN IN LONDON, ONTARIO","year":2006,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Census; Public park; Socioeconomic status; Built environment; Geographic information system; Psychological intervention; Public participation GIS; Distribution (mathematics); Urban planning","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":[0.0004166944,0.000193589,0.0002438363,0.0008053458,0.002037268,0.0008268811,0.0007353156,0.0001958436,0.003606421],"category_scores_gemma":[0.001297559,0.0002342749,0.0002857246,0.002085326,0.0004080099,0.0003774394,0.0006777208,0.0002164636,0.0003509612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01611592,"about_ca_system_score_gemma":0.01189082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783757,"about_ca_topic_score_gemma":0.9964395,"domain_scores_codex":[0.9995638,0.0000300199,0.00002641355,0.00005148827,0.0001988577,0.0001294256],"domain_scores_gemma":[0.9989561,0.00005163009,0.0002253183,0.00003065131,0.0004942194,0.0002421545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004985364,0.00002640578,0.9733988,0.0001095635,0.0000194023,0.000364113,0.006716514,0.0001908791,0.0003898237,0.0002201726,0.003907136,0.0146073],"study_design_scores_gemma":[0.000002398154,0.00001578793,0.9900053,0.0000299486,0.000005571353,0.00006791182,0.006004576,0.00008464144,0.00006952303,0.00001779317,0.00369084,0.000005587251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885539,0.0003256143,0.0001100948,0.0001785377,0.000005385507,0.00006479886,0.003425587,0.00001729019,0.007318599],"genre_scores_gemma":[0.9927011,0.0004599233,0.0007931048,0.00002850669,0.00000226819,0.0000829151,0.001733791,0.000007291315,0.004191115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02162427,"threshold_uncertainty_score":0.1169297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06600133751636199,"score_gpt":0.2767455861940533,"score_spread":0.2107442486776913,"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."}}