{"id":"W2939195701","doi":"10.1289/isesisee.2018.p03.1260","title":"Daily Time in Transportation and Traffic by Urban Canadians","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Population; Residence; Environmental health; Geography; Air pollution; Transport engineering; Poison control; Demography; Engineering; Medicine; Ecology","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":[0.0002622866,0.0003258928,0.0002297946,0.002029908,0.002201155,0.001176149,0.0007341529,0.0002905082,0.005383922],"category_scores_gemma":[0.001104626,0.0001678858,0.0004689633,0.005912338,0.0003417453,0.0003363988,0.0006974679,0.0003662439,0.0004610219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01150531,"about_ca_system_score_gemma":0.01015087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919619,"about_ca_topic_score_gemma":0.9940006,"domain_scores_codex":[0.999409,0.00003197259,0.00002728196,0.00009309368,0.0002635996,0.0001750214],"domain_scores_gemma":[0.9992464,0.00002995489,0.0001194186,0.00001478494,0.000391845,0.0001975762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000109755,0.00004466363,0.9591203,0.0001713955,0.00008855433,0.0001499519,0.002933988,0.0003688849,0.0004004964,0.0003794758,0.009415841,0.02681682],"study_design_scores_gemma":[0.000002636771,0.00001783153,0.9882494,0.00003517453,0.00001801533,0.0000584417,0.00315704,0.0002003795,0.00006338798,0.00002408,0.008150814,0.0000228017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534245,0.00133415,0.0001614402,0.0005511687,0.00004032404,0.00006689421,0.0292269,0.00003791313,0.01515674],"genre_scores_gemma":[0.981806,0.00133062,0.0002675297,0.0001422963,0.00001398197,0.00003055873,0.009223195,0.00001736998,0.007168479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150531,"threshold_uncertainty_score":0.0834772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890855451021836,"score_gpt":0.2550255875922059,"score_spread":0.2361170330819876,"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."}}