{"id":"W2898176169","doi":"10.1080/07055900.2018.1514579","title":"Changes in Canada's Climate: Trends in Indices Based on Daily Temperature and Precipitation Data","year":2018,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Frost (temperature); Percentile; Precipitation; Environmental science; Degree (music); Climate change; Climatology; Maximum temperature; Lowest temperature recorded on Earth; Global warming; Atmospheric sciences; Geography; Meteorology; Mathematics; Biology; Ecology; Geology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003952778,0.0001370953,0.0001436818,0.000009387026,0.00007352922,0.00003467254,0.0002848951,0.00007720174,0.0011069],"category_scores_gemma":[0.00003636294,0.0001242098,0.000007414995,0.0003680003,0.00009810613,0.0002199081,0.00019629,0.000136452,0.00001147982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005349,"about_ca_system_score_gemma":0.00005111178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4839015,"about_ca_topic_score_gemma":0.9874955,"domain_scores_codex":[0.9987366,0.00007558589,0.0001719246,0.0004853764,0.0002329404,0.0002975486],"domain_scores_gemma":[0.9993109,0.0000875854,0.00005561876,0.000466773,0.000004395466,0.00007475919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008078481,0.0000873048,0.9785111,0.0000165093,0.000002381254,0.000009328275,0.0009158435,0.00282126,0.0002328328,0.00001772717,0.002790083,0.01451483],"study_design_scores_gemma":[0.0006675482,0.0001451226,0.8988342,0.00005462284,0.00000555054,0.000001079328,0.0005340865,0.09689137,0.0001602046,0.00008434427,0.00240744,0.0002144534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947846,0.00001530557,0.000001171216,0.0009717603,0.00008593566,0.000122456,0.0001080806,0.00001394854,0.00389674],"genre_scores_gemma":[0.9984725,0.00002509381,0.0004188492,0.0008133453,0.00003177458,0.000003086005,0.0001574633,0.00001197481,0.00006589518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5035939,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665458614115822,"score_gpt":0.2409794386927012,"score_spread":0.224324852551543,"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."}}