{"id":"W3135491471","doi":"10.4000/vertigo.28783","title":"L’infrastructure verte dans l’aire urbaine de Montréal: la multifonctionnalité des espaces végétalisés en question","year":2021,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Geography; 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":[0.0003653268,0.0004708717,0.0002607981,0.001125094,0.002791242,0.003069115,0.0006549566,0.0004983945,0.004503215],"category_scores_gemma":[0.0008395459,0.0002579014,0.0003497376,0.002678647,0.001472143,0.001021769,0.001092113,0.0004838675,0.000330845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01619267,"about_ca_system_score_gemma":0.009276331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565338,"about_ca_topic_score_gemma":0.9803407,"domain_scores_codex":[0.9994435,0.00005266455,0.000009664637,0.0001241693,0.000180503,0.0001895245],"domain_scores_gemma":[0.9994045,0.00009840535,0.00006814085,0.00003608546,0.0002884658,0.0001043419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003476191,0.000123892,0.6195023,0.0006889965,0.0002902707,0.003335755,0.03038667,0.03995366,0.04796252,0.03597461,0.01198108,0.2094526],"study_design_scores_gemma":[0.00001208359,0.00007742255,0.8776273,0.0001145415,0.00007709541,0.0002304277,0.02060287,0.01194357,0.003759906,0.001192195,0.08425228,0.0001102608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361517,0.00172024,0.008032698,0.001462449,0.00004607334,0.0001229729,0.002129258,0.0002023856,0.05013212],"genre_scores_gemma":[0.9814634,0.0005494435,0.003286667,0.0001074835,0.000007851275,0.00003335527,0.000537497,0.00003336249,0.01398095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04346621,"threshold_uncertainty_score":0.1174866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006586901063615515,"score_gpt":0.2339442717767,"score_spread":0.2273573707130845,"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."}}