{"id":"W2742124865","doi":"10.1175/jamc-d-16-0290.1","title":"Historical Spatial and Temporal Climate Trends in Southern Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Precipitation; Climatology; Environmental science; Climate change; Global warming; Climate model; Climate extremes; Mean radiant temperature; Daytime; Atmospheric sciences; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003473877,0.0002534713,0.0002348457,0.001477561,0.001630773,0.00110719,0.0005478115,0.0001529039,0.001961325],"category_scores_gemma":[0.001097656,0.000202009,0.0003342859,0.005204744,0.0003794804,0.0002683352,0.0003968441,0.0002673574,0.0002106925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02824152,"about_ca_system_score_gemma":0.0308146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983984,"about_ca_topic_score_gemma":0.9993275,"domain_scores_codex":[0.9996926,0.00001164686,0.00001926332,0.00006193849,0.0001307463,0.00008381013],"domain_scores_gemma":[0.9985523,0.00005509912,0.000214651,0.00003170456,0.0009903661,0.0001559072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007620377,0.00001422537,0.9784696,0.0001338245,0.000115397,0.0001670118,0.001432876,0.002165023,0.0008577988,0.0004026364,0.005149641,0.01101572],"study_design_scores_gemma":[0.000004479387,0.000006682809,0.9925773,0.00003083729,0.00002329208,0.0000269676,0.0009296996,0.001066664,0.0001008293,0.00002982628,0.005193567,0.000009892011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562952,0.001500373,0.0004207265,0.0005006484,0.00002023101,0.00004259192,0.03360336,0.00007160932,0.007545279],"genre_scores_gemma":[0.9886213,0.0008050401,0.0004917621,0.00005006534,0.000005091187,0.00002344457,0.006947445,0.00001032405,0.003045581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02824152,"threshold_uncertainty_score":0.2049075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348563464617606,"score_gpt":0.225061958771866,"score_spread":0.2115763241256899,"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."}}