{"id":"W3165326011","doi":"10.3390/w13111494","title":"2 °C vs. High Warming: Transitions to Flood-Generating Mechanisms across Canada","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Trottier Institute for Sustainability in Engineering and Design; Compute Canada","keywords":"Snowmelt; Climate change; Flood myth; Global warming; Environmental science; Climatology; Context (archaeology); Streamflow; Flooding (psychology); Climate model; Geography; Snow; Drainage basin; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000384223,0.0003887496,0.0003112244,0.0005230585,0.00137702,0.001466853,0.0007388632,0.000486448,0.00141969],"category_scores_gemma":[0.0007268566,0.0001818457,0.0006631425,0.0007496332,0.0006030363,0.0004255167,0.0006611591,0.0005552293,0.00006723937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02175351,"about_ca_system_score_gemma":0.01694521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872139,"about_ca_topic_score_gemma":0.9875496,"domain_scores_codex":[0.9997906,0.00002060683,0.000005292423,0.0000380056,0.00004001639,0.0001055116],"domain_scores_gemma":[0.9996954,0.00002805719,0.00001955729,0.00001332552,0.0001560426,0.00008773892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004973126,0.0001804093,0.5386304,0.0001506692,0.0004916064,0.0006807877,0.001074481,0.411247,0.009137558,0.008927385,0.006438734,0.02254369],"study_design_scores_gemma":[0.00010092,0.00008394579,0.7821215,0.00004225034,0.0001852449,0.0000766487,0.001846263,0.2039757,0.001577492,0.001713455,0.008135175,0.0001414489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921061,0.0002281844,0.0004215274,0.0006385716,0.000009396307,0.0000168058,0.001604081,0.00005034215,0.004925164],"genre_scores_gemma":[0.9986589,0.0001421106,0.0002106836,0.00005551549,0.000001611006,0.00000508049,0.0004671217,0.000006220439,0.0004527866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02175351,"threshold_uncertainty_score":0.1578335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005729090073631589,"score_gpt":0.2100438909869244,"score_spread":0.2043148009132928,"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."}}