{"id":"W4294792874","doi":"10.5194/essd-2022-65-rc2","title":"Comment on essd-2022-65","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; BC Hydro; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Environmental science; Terrain; Meteorology; Wind speed; Climatology; Urban climate; Atmospheric sciences; Geography; Cartography; Urban planning; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002516245,0.0007596387,0.0009144438,0.001092534,0.001801358,0.005209242,0.00193826,0.01600574,0.2695524],"category_scores_gemma":[0.01162044,0.0003938595,0.001558048,0.001249358,0.001028861,0.002709526,0.002189235,0.008089463,0.2337455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695078,"about_ca_system_score_gemma":0.00352938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963173,"about_ca_topic_score_gemma":0.02439844,"domain_scores_codex":[0.9981877,0.0001337864,0.0001817929,0.0002038232,0.0009312045,0.0003616511],"domain_scores_gemma":[0.9966274,0.00068673,0.000130886,0.0002883482,0.001807333,0.0004593132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002600662,0.000006987088,0.00005918506,0.00004680807,0.000001395411,0.00004331277,0.000007028028,0.0000109116,0.00004949603,0.0008976486,0.9961289,0.002722253],"study_design_scores_gemma":[0.00001397833,0.00000748146,0.0003601242,0.00006790429,0.000001692346,0.00001450679,0.00002223948,0.00001848468,0.00006449947,0.000535548,0.9988866,0.000006997931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008454218,0.002366956,0.001142436,0.2589396,0.3122986,0.0006436211,0.03865254,0.003349685,0.381761],"genre_scores_gemma":[0.003421437,0.0009526092,0.0005497116,0.3266238,0.02573921,0.0005011522,0.00853567,0.0009203682,0.632756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2695524,"threshold_uncertainty_score":0.9017428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497959829820191,"score_gpt":0.2682417862628442,"score_spread":0.2432621879646423,"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."}}