{"id":"W6925972191","doi":"10.20383/102.0743","title":"Snowfall statistics for past and future climates calculated from two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5)","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Snow; Climate model; Percentile; Climate change; Precipitation; Ensemble average","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":[0.0004784972,0.0007677397,0.0006083437,0.001402577,0.0009778935,0.0008501597,0.001526076,0.0005288546,0.005313737],"category_scores_gemma":[0.001738716,0.0002795044,0.0008875618,0.002961242,0.0002131036,0.0004981402,0.0005051485,0.0007705906,0.001680942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004697982,"about_ca_system_score_gemma":0.009965822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9065262,"about_ca_topic_score_gemma":0.942082,"domain_scores_codex":[0.9995885,0.00002060828,0.00002077871,0.00007564605,0.0002171851,0.00007722909],"domain_scores_gemma":[0.9987543,0.00006128905,0.00005277549,0.00009619939,0.000929157,0.0001063787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005003689,0.0001301186,0.1175975,0.0008084665,0.0009061893,0.0002306754,0.0002522371,0.1470164,0.002800609,0.003802693,0.6895948,0.03635999],"study_design_scores_gemma":[0.0004508785,0.00005630732,0.2884096,0.0002708379,0.0002391992,0.0001427083,0.0004559725,0.2270955,0.004384792,0.002783567,0.4754004,0.0003102354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07785003,0.0005223432,0.002373588,0.0003569963,0.000150364,0.00008927788,0.907494,0.001638958,0.009524301],"genre_scores_gemma":[0.1113734,0.0003229233,0.004182353,0.0001024403,0.00002356793,0.00008776294,0.880821,0.0002739937,0.002812648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09347379,"threshold_uncertainty_score":0.1880485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406203510758537,"score_gpt":0.2854155390408813,"score_spread":0.2513535039332959,"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."}}