{"id":"W4415528771","doi":"10.1016/j.ecolind.2025.114206","title":"Assessing thermal comfort in a landmark urban park: a case study and methodological framework of Alamo Square in San Francisco, USA","year":2025,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Nevada, Las Vegas","keywords":"Microclimate; Reforestation; Shading; Thermal comfort; Vegetation (pathology); Urban heat island; Landmark; Tree canopy; Ecosystem services","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001478723,0.0001592,0.0003927582,0.0001738062,0.00008958581,0.00003068099,0.0001678129,0.0002767498,0.001138011],"category_scores_gemma":[0.0005459735,0.0001175474,0.00003667319,0.0008243608,0.000299012,0.000150989,0.0002409423,0.0004662059,0.000007135716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578761,"about_ca_system_score_gemma":0.0000202223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006030193,"about_ca_topic_score_gemma":0.00216862,"domain_scores_codex":[0.9978533,0.0007641288,0.000464416,0.0004245288,0.000180614,0.0003129573],"domain_scores_gemma":[0.9983903,0.001232209,0.0001097053,0.0001844915,0.000002863995,0.00008048116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002498545,0.0006663491,0.9934008,0.000008911876,0.000008121364,0.0006497614,0.001276108,0.00008156887,0.0001653379,0.00007060687,0.00008089963,0.00356655],"study_design_scores_gemma":[0.0005611818,0.0002693684,0.9957767,0.00003126034,0.00001388411,0.00002072205,0.002159047,0.0001946001,0.00009356404,0.0007081468,0.00004784479,0.0001236723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965813,0.00005333344,0.0002161845,0.00006181042,0.00006238905,0.0006104799,0.0000024385,0.00001844464,0.002393633],"genre_scores_gemma":[0.9974253,0.000003184104,0.002266281,0.0001789216,0.00001113772,0.00008455423,0.000001936015,0.000005247157,0.00002340918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003442878,"threshold_uncertainty_score":0.9997751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152693974098446,"score_gpt":0.3495104360842137,"score_spread":0.3079834963432292,"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."}}