{"id":"W2981618519","doi":"10.1111/tgis.12586","title":"Object‐oriented tracking of thematic and spatial behaviors of urban heat islands","year":2019,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Thematic map; Object (grammar); Urban heat island; Geography; Cartography; Tracking (education); Computer science; Climatology; Meteorology; Artificial intelligence; Geology; Sociology","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":[0.0004346898,0.0003241681,0.0002419014,0.0009646588,0.0002389403,0.001097707,0.0005707774,0.0002939563,0.0006687661],"category_scores_gemma":[0.000923367,0.0001760491,0.0004056271,0.000978502,0.0003520951,0.0008433295,0.0004104909,0.0002220064,0.000139893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007075769,"about_ca_system_score_gemma":0.0006203183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386993,"about_ca_topic_score_gemma":0.01693236,"domain_scores_codex":[0.9998387,0.00003399574,0.00001263841,0.00005624537,0.00004311462,0.00001525112],"domain_scores_gemma":[0.9995338,0.0001469193,0.0001102185,0.00008991201,0.00009060553,0.00002866991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001945186,0.000192501,0.07808235,0.0001625118,0.0001630998,0.0003631975,0.001154292,0.8092297,0.01572997,0.01940881,0.001125484,0.07419353],"study_design_scores_gemma":[0.00000378908,0.00002034076,0.007225012,0.000006029877,0.00002242265,0.00003032517,0.0001247357,0.9869139,0.0023017,0.002015203,0.001327649,0.000008947687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4968717,0.000177412,0.4945688,0.0001077571,0.00002770644,0.000140166,0.000887045,0.002578587,0.004640896],"genre_scores_gemma":[0.920483,0.0001062405,0.07794015,0.00001139083,0.000004072461,0.00005033901,0.0005876027,0.00006504681,0.0007520959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02386993,"threshold_uncertainty_score":0.04746199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007423826140607867,"score_gpt":0.2181718827245856,"score_spread":0.2107480565839777,"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."}}