{"id":"W2165108312","doi":"10.1088/1748-9326/7/2/024004","title":"The long-term effect of increasing the albedo of urban areas","year":2012,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Albedo (alchemy); Environmental science; Atmospheric sciences; Term (time); Climatology; Cloud albedo; Global warming; Global temperature; Meteorology; Climate change; Geography; Cloud cover; Geology","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":[0.0003681205,0.0005766813,0.0003815777,0.0002407099,0.0005576233,0.0008742348,0.0006921953,0.0008535108,0.001854959],"category_scores_gemma":[0.00155383,0.0003297017,0.0009673062,0.0003540704,0.0007349786,0.0008263222,0.0006451482,0.0007230003,0.0001411316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007424679,"about_ca_system_score_gemma":0.0007430207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228142,"about_ca_topic_score_gemma":0.01912308,"domain_scores_codex":[0.9998378,0.00004881182,0.000008302801,0.00003524552,0.00001721055,0.00005262697],"domain_scores_gemma":[0.9994547,0.0002221294,0.00007308999,0.00007192302,0.00008544435,0.00009277922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000128853,0.0001062225,0.01674124,0.00003647836,0.00009218975,0.00008153231,0.00003754905,0.9735212,0.007020728,0.0007045706,0.0002482781,0.001281225],"study_design_scores_gemma":[0.0002010215,0.0003174303,0.03053218,0.00002056219,0.0001662041,0.00008365179,0.000165435,0.9596052,0.006390385,0.0011782,0.001277348,0.00006222904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949892,0.0000837673,0.001812812,0.0001695564,0.00002311265,0.00001140453,0.0002648069,0.00004219345,0.002603072],"genre_scores_gemma":[0.9988899,0.00005179711,0.0006144097,0.00002789726,0.00000327903,0.000008313509,0.0001262934,0.00001318124,0.0002649937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02228142,"threshold_uncertainty_score":0.04430342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439574307544202,"score_gpt":0.251497803062087,"score_spread":0.237102059986645,"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."}}