{"id":"W4229444723","doi":"10.3390/hydrology9050081","title":"Change in Winter Precipitation Regime across Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Environmental science; Snow; Climate change; Hydrology (agriculture); Water year; Trend analysis; Climatology; Drainage basin; Geography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002141777,0.00007707845,0.0001076107,0.00002010466,0.0002086131,0.000002458942,0.0001650698,0.00002577951,0.007440589],"category_scores_gemma":[0.000005437513,0.00007983005,0.00001560433,0.00009441658,0.00008406104,0.00007428666,0.0005726533,0.0001765434,0.00007243775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607445,"about_ca_system_score_gemma":0.0000121268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9591157,"about_ca_topic_score_gemma":0.9984273,"domain_scores_codex":[0.99911,0.00009453105,0.0001163482,0.000239834,0.0001185506,0.0003207529],"domain_scores_gemma":[0.9997874,0.00002236475,0.00003829779,0.0001273687,0.000001018274,0.00002357647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006043978,0.00004278476,0.9650363,0.000001591776,0.00001341211,0.0001014891,0.01128613,0.005913832,0.00003513733,0.00003944591,0.01688242,0.0005870095],"study_design_scores_gemma":[0.0003529554,0.0001171645,0.7494484,5.816456e-7,0.000004581032,0.000008993296,0.0001807783,0.0005064414,0.00001259013,0.0004847869,0.2487767,0.0001060296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852331,0.00001681411,0.000004323499,0.004834351,0.0003506485,0.0001721801,0.000003952058,0.00001252012,0.009372111],"genre_scores_gemma":[0.9906068,0.000002178234,0.00001524014,0.005269658,0.00001563907,0.0002315306,0.00001355427,0.000005143682,0.003840266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2318943,"threshold_uncertainty_score":0.9934667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454101439222226,"score_gpt":0.2290566293281551,"score_spread":0.2145156149359329,"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."}}