{"id":"W4412807111","doi":"10.1080/02723638.2025.2536237","title":"Green alleys in Montreal: tensions between gentrification and environmental justice","year":2025,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gentrification; Environmental justice; Economic Justice; Political science; Geography; Regional science; Sociology; Law; Economics; Economic growth","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":[0.001400007,0.0001676487,0.0002058821,0.0008241385,0.01324573,0.00361904,0.001336509,0.001229644,0.00420139],"category_scores_gemma":[0.003373177,0.0001625219,0.0001476342,0.001467592,0.01576792,0.00151856,0.004809584,0.001446402,0.00008006395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03720597,"about_ca_system_score_gemma":0.02659135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.932173,"about_ca_topic_score_gemma":0.9809513,"domain_scores_codex":[0.9978104,0.0008033194,0.00001741285,0.000135924,0.0003094318,0.0009236605],"domain_scores_gemma":[0.9984776,0.0004334943,0.0002078836,0.00007548175,0.0001965835,0.0006087854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001273454,0.0002053985,0.09753863,0.0001654868,0.00004609672,0.002379574,0.6304925,0.001207231,0.002302174,0.1815855,0.01743795,0.06651209],"study_design_scores_gemma":[0.00001679624,0.0001009171,0.2392481,0.0001725845,0.0000235274,0.0001975669,0.6069293,0.0006765894,0.0005845953,0.009404742,0.1425362,0.0001091663],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370642,0.001165147,0.0006886561,0.01569332,0.0000578724,0.00003359029,0.00007530734,0.00002097863,0.04520095],"genre_scores_gemma":[0.9967512,0.0001839162,0.0001030209,0.0002855795,0.000007481288,0.000006106707,0.000007436935,0.000004104489,0.002651204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06782699,"threshold_uncertainty_score":0.2699494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037014152711794,"score_gpt":0.2267923871146486,"score_spread":0.2164222455875306,"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."}}