{"id":"W4410134125","doi":"10.1007/s10668-025-06199-z","title":"Dynamics of land cover/land use with heat islands phenomenon and its ecological evaluation using remote sensing data (1992–2022)","year":2025,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Land cover; Sustainable development; Ecology; Environmental science; Cover (algebra); Geography; Environmental resource management; Phenomenon; Land use; Remote sensing; Dynamics (music); Engineering; Biology","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":[0.000646767,0.0002422024,0.0001458982,0.001092905,0.0002362484,0.0006394291,0.0002964833,0.0004232038,0.00105773],"category_scores_gemma":[0.001788791,0.0001705074,0.0003164457,0.002393628,0.0003174056,0.0006416393,0.0004708248,0.0003564211,0.000273587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009312534,"about_ca_system_score_gemma":0.0005775917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09598466,"about_ca_topic_score_gemma":0.1329374,"domain_scores_codex":[0.9997914,0.00004197523,0.00002146315,0.00004937483,0.00004367943,0.00005218887],"domain_scores_gemma":[0.9990001,0.0002378022,0.0003411339,0.00005862555,0.000252335,0.0001099072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002515086,0.00009519626,0.9871773,0.00003469192,0.00008937636,0.0001868289,0.0002827755,0.002571042,0.00095964,0.000215276,0.001374043,0.006762363],"study_design_scores_gemma":[0.000002966585,0.00001538651,0.9970564,0.000003581338,0.00001434315,0.00005196278,0.0001875561,0.001935831,0.0001199445,0.00002472648,0.0005837228,0.000003626053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954921,0.0001239265,0.0001161732,0.0001025953,0.000006029128,0.000007350324,0.00344051,0.000008896371,0.0007023505],"genre_scores_gemma":[0.9947404,0.00009435272,0.000191272,0.00001476602,0.000007287457,0.00001377111,0.004461285,0.000003348059,0.0004735023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09598466,"threshold_uncertainty_score":0.1908519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360524768280407,"score_gpt":0.2492363769509694,"score_spread":0.2256311292681653,"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."}}