{"id":"W6921113798","doi":"10.6084/m9.figshare.28776742","title":"Reducing Snow Amount Uncertainty in CMIP6 PanCanadian Climate Projections","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; Weighting; Projection (relational algebra); Metric (unit); Precipitation; Snow; Climate model; Constraint (computer-aided design)","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":[0.001698666,0.000656402,0.0003026224,0.000700063,0.0005217735,0.0009204627,0.0007358806,0.0003443537,0.001344529],"category_scores_gemma":[0.005535041,0.0003619998,0.0004812908,0.001377079,0.0003007648,0.0008732787,0.001050453,0.0007428784,0.0001468911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591912,"about_ca_system_score_gemma":0.002856286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1475663,"about_ca_topic_score_gemma":0.2348375,"domain_scores_codex":[0.9995616,0.0001316445,0.00001915305,0.00008488379,0.0001455602,0.00005705446],"domain_scores_gemma":[0.9991993,0.0002604153,0.00008914105,0.0001165526,0.0002875903,0.00004712609],"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":[0.0001480334,0.00002810706,0.02442758,0.00006593508,0.0001593396,0.00006280479,0.0001099577,0.9196796,0.003101418,0.005407551,0.00175292,0.04505669],"study_design_scores_gemma":[0.00003995473,0.00002761891,0.02893807,0.00003182605,0.0000407388,0.0000221572,0.0001150914,0.9571818,0.003257078,0.005158031,0.005148553,0.00003907372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8446279,0.0002860643,0.1322724,0.001193839,0.00006380146,0.0001184242,0.006022557,0.000608781,0.01480634],"genre_scores_gemma":[0.9341896,0.0001481025,0.0616327,0.00006384382,0.00001470723,0.00005076107,0.00296051,0.0001575206,0.0007823543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8524337,"threshold_uncertainty_score":0.2934148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990152243202876,"score_gpt":0.267979584737792,"score_spread":0.2380780623057632,"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."}}