{"id":"W4378839430","doi":"10.1016/j.scitotenv.2023.164497","title":"Evolution of the local climate in Montreal and Ottawa before, during and after a heatwave and the effects on urban heat islands","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; National Research Council Canada","funders":"Infrastructure Canada; Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Urban heat island; Climatology; Geography; Environmental science; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008532224,0.0001111401,0.0001211298,0.0000296392,0.0002838657,0.00001595918,0.0002299023,0.00002878104,0.0000122108],"category_scores_gemma":[0.00003312248,0.00004665831,0.00003515101,0.0002536857,0.003127238,0.0001114999,0.0006891128,0.0001105035,0.000006883601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531618,"about_ca_system_score_gemma":0.000005405173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005497814,"about_ca_topic_score_gemma":0.0001400996,"domain_scores_codex":[0.9987683,0.0001244507,0.0001671506,0.0002430108,0.0004452424,0.0002518366],"domain_scores_gemma":[0.9994501,0.0001048955,0.00005533003,0.0003497035,0.000001274493,0.00003871687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009771888,0.0001939035,0.752175,0.0001932235,0.00003528404,0.000006585496,0.03227064,0.04772846,0.1573017,0.0009198675,0.0002702108,0.007927963],"study_design_scores_gemma":[0.0007463488,0.00008701231,0.9795507,0.00005583832,0.00001674326,0.00001108583,0.0002181315,0.01042705,0.00794699,0.0008843525,0.000002111826,0.00005369018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980961,0.0001070585,0.000002330989,0.0008037763,0.00005957785,0.0004949024,0.000006990054,0.000004611428,0.0004246728],"genre_scores_gemma":[0.9996254,0.00005224016,0.000005311285,0.00002452327,0.00001196903,0.00003090731,1.840109e-7,0.000005300385,0.0002441488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2273757,"threshold_uncertainty_score":0.9995857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002066219960727076,"score_gpt":0.1651179059896395,"score_spread":0.1630516860289125,"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."}}