{"id":"W4366827482","doi":"10.21203/rs.3.rs-2833694/v1","title":"Physical environment features that predict outdoor active play can be measured using Google Street View images","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Simon Fraser University; Brock University; University of British Columbia; Queen's University","funders":"","keywords":"Pedestrian; Variety (cybernetics); Measure (data warehouse); Computer science; Context (archaeology); Artificial intelligence; Machine learning; Transport engineering; Data mining; Geography; 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":[0.0002698954,0.0005809482,0.0002633377,0.001507286,0.0001127234,0.0007200694,0.0003796153,0.0004012394,0.002400916],"category_scores_gemma":[0.00206253,0.0001994846,0.0004175006,0.001140478,0.000194898,0.0007488803,0.0004048931,0.000321454,0.001373237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003901527,"about_ca_system_score_gemma":0.0002013702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03156653,"about_ca_topic_score_gemma":0.05578164,"domain_scores_codex":[0.9997461,0.00005287357,0.00001179031,0.00006065397,0.00008076293,0.00004776884],"domain_scores_gemma":[0.9992512,0.000199086,0.0001451538,0.00007922627,0.0002573981,0.00006780332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005699891,0.0003769738,0.8494338,0.0002389139,0.0002360978,0.0003039471,0.0004350562,0.02844889,0.01062094,0.0008383145,0.009059572,0.09943756],"study_design_scores_gemma":[0.00001130847,0.0001266758,0.7924839,0.00007118223,0.00005602187,0.0001665965,0.0007829657,0.1968404,0.006401543,0.0005014865,0.002519539,0.00003841239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757698,0.0001524259,0.008531882,0.0001227198,0.0000332247,0.00006480338,0.0102156,0.0006502516,0.004459247],"genre_scores_gemma":[0.9888103,0.00007717535,0.006217449,0.00001349697,0.000008426322,0.00003242683,0.004175555,0.00002651036,0.0006388096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03156653,"threshold_uncertainty_score":0.0627656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.178723324883918,"score_gpt":0.4322319108244794,"score_spread":0.2535085859405615,"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."}}