{"id":"W3177081435","doi":"10.1186/s12199-021-00990-w","title":"When physical activity meets the physical environment: precision health insights from the intersection","year":2021,"lang":"en","type":"review","venue":"Environmental Health and Preventive Medicine","topic":"Physical Activity and Health","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Canada; University of British Columbia; BC Centre for Disease Control; University of the Fraser Valley","funders":"Canadian Institutes of Health Research","keywords":"Physical activity; Built environment; Level design; Socioeconomic status; Walkability; Population; Environmental health; Computer science; Medicine; Human–computer interaction; Engineering; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005126032,0.0007357812,0.003395163,0.0000548598,0.0008151322,0.00002213651,0.0002627695,0.0001765967,0.0001436201],"category_scores_gemma":[0.00006763472,0.0003640931,0.0005453614,0.0001639311,0.0008414808,0.0001501431,0.000379053,0.001978387,0.00008036518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113688,"about_ca_system_score_gemma":0.000487326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006757815,"about_ca_topic_score_gemma":0.00003195697,"domain_scores_codex":[0.9944384,0.002312955,0.0006368926,0.001084573,0.0009138858,0.0006133538],"domain_scores_gemma":[0.9957728,0.001707622,0.0008445048,0.0008441,0.00000617615,0.0008247288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001047237,0.001897903,0.00000940117,0.00230793,0.000265098,0.000008496005,0.007718227,1.27191e-7,0.00001030566,0.0001245615,0.002601766,0.9849514],"study_design_scores_gemma":[0.001116149,0.00322585,0.001289385,0.01474983,0.0006737406,0.00005913655,0.0008833035,0.00009257578,0.000007561887,0.0009847203,0.9766165,0.0003012479],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01093556,0.9720719,0.0002146983,0.01289616,0.0003169891,0.003226412,0.0001866535,0.00003249615,0.0001191302],"genre_scores_gemma":[0.04454159,0.949382,0.00003473254,0.001966561,0.002580207,0.0002025737,0.000846179,0.0000696822,0.0003764679],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9846502,"threshold_uncertainty_score":0.9998811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158796003006601,"score_gpt":0.3708769686826392,"score_spread":0.3092890086525732,"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."}}