{"id":"W2982131359","doi":"10.1111/cag.12571","title":"Bruit aérien et équité environnementale dans les quatre plus grandes métropoles canadiennes","year":2019,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007599085,0.0003226296,0.0003563007,0.00215244,0.002138202,0.001520744,0.0004532717,0.0005156705,0.005079398],"category_scores_gemma":[0.003306006,0.0002601857,0.0004027119,0.005098698,0.0009597555,0.0006498893,0.001162085,0.0005696421,0.0003123605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007965886,"about_ca_system_score_gemma":0.01020716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9264224,"about_ca_topic_score_gemma":0.9674309,"domain_scores_codex":[0.9991472,0.0001509267,0.00005797948,0.0001349384,0.0002183876,0.000290534],"domain_scores_gemma":[0.9987171,0.00027351,0.0002591156,0.00006565066,0.0004606403,0.0002240441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301359,0.00004527132,0.9688613,0.0001650882,0.00007228558,0.0002247897,0.007296232,0.0003958984,0.0004711531,0.001113063,0.001989644,0.01923508],"study_design_scores_gemma":[0.000003619552,0.00004208229,0.9887186,0.00004840294,0.00003160291,0.00007514108,0.007775319,0.0001146926,0.0001025057,0.0001291869,0.002940995,0.00001781548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848287,0.001983623,0.0003024951,0.001751124,0.00004197677,0.0000334698,0.002360113,0.00002016387,0.00867821],"genre_scores_gemma":[0.9934151,0.001004008,0.0003191242,0.0001236229,0.00002047398,0.00002596296,0.0006070733,0.000006330638,0.00447821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07357764,"threshold_uncertainty_score":0.1480219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389783637362999,"score_gpt":0.2584539632557227,"score_spread":0.2445561268820927,"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."}}