{"id":"W6939727900","doi":"10.6084/m9.figshare.28706127.v1","title":"Evaluation of a Multivariate Statistical Downscaling Method over Canada's Largest Pacific Basin","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Univariate; Multivariate statistics; Precipitation; Multivariate analysis; Watershed; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001388037,0.0004744428,0.0003022495,0.0004392285,0.000560536,0.0004365393,0.0009074771,0.0002268705,0.0009835839],"category_scores_gemma":[0.004224146,0.0002234577,0.0003224891,0.0005706036,0.0002585824,0.0004068226,0.0004370764,0.0004675247,0.00007225572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874608,"about_ca_system_score_gemma":0.005039008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5262367,"about_ca_topic_score_gemma":0.5425103,"domain_scores_codex":[0.9996787,0.00007597693,0.00001780125,0.00006882639,0.0001189426,0.0000397763],"domain_scores_gemma":[0.9985248,0.0003488699,0.0001251536,0.0001519931,0.0007870057,0.00006218313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001640456,0.00005769542,0.04339361,0.0000433599,0.0001311094,0.00004808777,0.00007799983,0.8784189,0.003452475,0.001161923,0.001280111,0.07177062],"study_design_scores_gemma":[0.00002057396,0.00002009604,0.007168532,0.000004331481,0.00001565158,0.000008440091,0.00002527177,0.990326,0.001671683,0.0001410477,0.0005883821,0.000010124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8973414,0.0001773106,0.09542039,0.0004123217,0.00005570459,0.0001002937,0.0009972103,0.001857033,0.003638331],"genre_scores_gemma":[0.9335578,0.00005674546,0.06489668,0.00004509923,0.000008079818,0.00003131342,0.0007320806,0.0001520176,0.0005201428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4737633,"threshold_uncertainty_score":0.9531069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678064637310916,"score_gpt":0.3326525024030231,"score_spread":0.2858718560299139,"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."}}