{"id":"W2947649300","doi":"10.3917/spub.190.0153","title":"Les effets des arbres et de la forêt sur la qualité de l’air et la santé humaine dans et autour des zones urbaines","year":2019,"lang":"fr","type":"article","venue":"Santé Publique","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Air quality index; Environmental science; Pollutant; Air pollution; Air pollutants; Microclimate; Human health; Forestry; Environmental protection; Geography; Environmental engineering; Ecology; Meteorology; Biology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006491443,0.0004870823,0.0006431034,0.00063188,0.0008881239,0.001455161,0.0004535863,0.0006680281,0.002457008],"category_scores_gemma":[0.0005441635,0.0002526847,0.0006958585,0.0006475914,0.0007301818,0.0004944015,0.0005274264,0.0005372979,0.0004353093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906155,"about_ca_system_score_gemma":0.0007695995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06958584,"about_ca_topic_score_gemma":0.1696398,"domain_scores_codex":[0.9991331,0.0002402993,0.00002582911,0.0001891735,0.0002146945,0.0001968555],"domain_scores_gemma":[0.9990784,0.0002738115,0.0001985463,0.00004417438,0.0003152252,0.00008976525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002594983,0.0004964554,0.4482891,0.0009710582,0.0006677419,0.0009375009,0.00559994,0.005538392,0.463232,0.001560115,0.0003686523,0.06974417],"study_design_scores_gemma":[0.00001267754,0.001410241,0.9599128,0.00005010779,0.0001256649,0.000133554,0.002764039,0.001250069,0.02728255,0.0002526475,0.006771239,0.00003444068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958845,0.0008876389,0.0005555428,0.00008923176,0.00000888302,0.00001683696,0.0001026632,0.00001284825,0.002441903],"genre_scores_gemma":[0.9941586,0.0006764852,0.001004584,0.00006368265,0.000007233508,0.00001767724,0.0001111467,0.000008197147,0.003952447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06958584,"threshold_uncertainty_score":0.1383616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067773054885309,"score_gpt":0.3751431774420471,"score_spread":0.344465446893194,"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."}}