{"id":"W4327884416","doi":"10.1353/cye.2023.0009","title":"The Role of Toronto's Neighborhood Landscape Characteristics in Facilitating Outdoor Play During the COVID-19 Outbreak","year":2023,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affordance; Coronavirus disease 2019 (COVID-19); Geography; Outbreak; Pandemic; Population; Outdoor activity; Urban landscape; 2019-20 coronavirus outbreak; Environmental planning; Ecology; Demography; Psychology; Sociology; Medicine; Recreation; Cognitive psychology; Biology","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":[0.0003800988,0.0001503385,0.0001629105,0.00001353721,0.0004095542,0.00002554519,0.0002448277,0.00005903834,0.0001914126],"category_scores_gemma":[0.00006002108,0.00009499397,0.00003836116,0.00008120597,0.0001975912,0.0001089898,0.0002851406,0.0001343525,0.0001122294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247477,"about_ca_system_score_gemma":0.000009404692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00418396,"about_ca_topic_score_gemma":0.001709935,"domain_scores_codex":[0.9987202,0.0000683379,0.0002789347,0.0002697206,0.0002677164,0.0003951308],"domain_scores_gemma":[0.9993094,0.0001051563,0.0001212338,0.0002948292,6.797542e-7,0.0001687495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002371324,0.00002171494,0.986381,0.000004705615,0.00001034461,0.000001017252,0.009199874,0.00006075932,0.0002754758,0.000007754281,0.00004457797,0.003969079],"study_design_scores_gemma":[0.0004515907,0.00003348933,0.9943154,0.000005566029,0.00001112483,0.000002560734,0.003942629,0.0002647648,0.00001741278,0.00005171145,0.0007955889,0.0001081826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998213,0.0004025538,0.000006838137,0.0002202447,0.00003828518,0.0002751445,0.0001481868,0.00001820226,0.0006775341],"genre_scores_gemma":[0.9984511,0.0008263218,0.000009068269,0.0001753126,0.00003554466,0.0000161163,0.00004274036,0.00001345098,0.0004303067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007934395,"threshold_uncertainty_score":0.6324924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008605223030782375,"score_gpt":0.2174224713290925,"score_spread":0.2088172482983101,"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."}}