{"id":"W6904865051","doi":"10.14288/1.0223760","title":"Proximity of public elementary schools to major roads in Canadian urban areas","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Census; Socioeconomic status; Noise pollution; Air pollution; Range (aeronautics); Public health","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":[],"consensus_categories":[],"category_scores_codex":[0.0009679773,0.0006544009,0.0005969455,0.003466862,0.003819312,0.001958042,0.002225186,0.0006247869,0.004147975],"category_scores_gemma":[0.004476881,0.0005207493,0.0009807836,0.00783404,0.001233297,0.0005228307,0.002643557,0.0007919197,0.0003503543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02590007,"about_ca_system_score_gemma":0.04538659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937738,"about_ca_topic_score_gemma":0.9961337,"domain_scores_codex":[0.9972137,0.0001635513,0.0001432765,0.0007028036,0.000912773,0.0008640634],"domain_scores_gemma":[0.9957557,0.0002608736,0.001203234,0.0001527056,0.001751166,0.0008765469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001072292,0.00003585668,0.982887,0.0001804552,0.000105407,0.0001776807,0.001455219,0.0003608021,0.0001540715,0.0004441443,0.002885532,0.01120663],"study_design_scores_gemma":[0.000005007519,0.0000135503,0.9962106,0.00008001996,0.00004448353,0.00005686883,0.001540559,0.0002215875,0.00005158256,0.00006333228,0.00169961,0.00001283465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792449,0.002924231,0.0003863076,0.0007799217,0.00003917533,0.00008323441,0.008308087,0.00005258221,0.008181347],"genre_scores_gemma":[0.9960092,0.001007236,0.0002924961,0.00006695873,0.000006574292,0.00002607071,0.001696288,0.000009525394,0.0008856386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02590007,"threshold_uncertainty_score":0.187919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04468944118734469,"score_gpt":0.3670526638813256,"score_spread":0.3223632226939809,"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."}}