{"id":"W6902454792","doi":"10.6084/m9.figshare.9462053","title":"Additional file 1: of Relationships between area-level socioeconomic status and urbanization with active transportation, independent mobility, outdoor time, and physical activity among Canadian children","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Physical activity; Urbanization; Data collection; Physical activity level","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001625759,0.001298992,0.001682371,0.003202652,0.002781536,0.00169695,0.003283618,0.0008336361,0.605457],"category_scores_gemma":[0.02632098,0.0007680437,0.00208676,0.00645634,0.0003779536,0.001363392,0.001007292,0.001394244,0.0369613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006112845,"about_ca_system_score_gemma":0.01597505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8324147,"about_ca_topic_score_gemma":0.848191,"domain_scores_codex":[0.9990632,0.0001123148,0.0001212004,0.0001800185,0.0002557001,0.0002675208],"domain_scores_gemma":[0.987066,0.006091747,0.0007677777,0.0008765454,0.004788896,0.0004089386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001545982,0.00007128905,0.02107644,0.0009132251,0.0001251182,0.00005515967,0.0001712912,0.0005128316,0.00002462925,0.000661792,0.970423,0.005810561],"study_design_scores_gemma":[0.003965208,0.000244439,0.4584752,0.006256477,0.001113265,0.000588667,0.00308918,0.007269344,0.0007304159,0.00474991,0.5131741,0.0003438451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006746634,0.00001957667,0.0001457127,0.00007692365,0.00002032631,0.00006825582,0.9978549,0.00006474959,0.00107496],"genre_scores_gemma":[0.04068722,0.0003008481,0.004425842,0.0004611134,0.00008370877,0.002538254,0.9314616,0.0004172102,0.01962427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.605457,"threshold_uncertainty_score":0.5627677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494606223125912,"score_gpt":0.236050490441493,"score_spread":0.2111044282102339,"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."}}