{"id":"W2159624953","doi":"10.1186/1479-5868-10-34","title":"Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis","year":2013,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute","funders":"National Heart, Lung, and Blood Institute; American Heart Association","keywords":"Recreation; Latent class model; Physical activity; Built environment; Level design; Geography; Environmental health; Guideline; Public transport; Demography; Active living; Medicine; Psychology; Gerontology; Transport engineering; Statistics; Computer science; Sociology; Physical therapy; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005120947,0.0004602019,0.0006630307,0.002112328,0.001056684,0.002080379,0.0007146233,0.000445467,0.002633582],"category_scores_gemma":[0.006876547,0.0003815525,0.002195643,0.002759194,0.0008974308,0.0008348555,0.002294519,0.0009121504,0.0003028074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009265477,"about_ca_system_score_gemma":0.001088287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170257,"about_ca_topic_score_gemma":0.01084055,"domain_scores_codex":[0.9969505,0.001448104,0.0002756446,0.0005300267,0.0003723138,0.0004233789],"domain_scores_gemma":[0.9950177,0.001684573,0.001484897,0.0007426785,0.0006991265,0.0003709889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001226499,0.00007470153,0.9943346,0.00002064011,0.0002060778,0.00002334944,0.0006393279,0.0005062043,0.0000814309,0.0001461489,0.0002218288,0.003623172],"study_design_scores_gemma":[0.00002635742,0.0001222944,0.9890243,0.0000503263,0.0001720068,0.00006655342,0.002646746,0.006831465,0.00008843734,0.0004029404,0.0005485424,0.00001986758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967619,0.00006116528,0.001932764,0.0000556785,0.000005610927,0.00007115034,0.0006858327,0.000009402281,0.0004164928],"genre_scores_gemma":[0.9978357,0.00003725301,0.00101604,0.000008633015,0.000002905325,0.0001073568,0.0008977643,0.000007156044,0.00008727297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170257,"threshold_uncertainty_score":0.03385323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866000954171094,"score_gpt":0.3494000054495212,"score_spread":0.3207399959078103,"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."}}