{"id":"W2953026593","doi":"10.82308/38725","title":"Interpreting air mass and precipitation structures from a weather-climate interface perspective: Analyses and projections","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Goddard Space Flight Center; National Science Foundation; Canon Foundation for Scientific Research; National Aeronautics and Space Administration","keywords":"Precipitation; Environmental science; Climatology; Climate model; Northern Hemisphere; Orography; Arctic; Climate change; Atmospheric sciences; Meteorology; Geology; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0008510338,0.0004247961,0.0001755469,0.0009326827,0.0002538718,0.00103443,0.000389594,0.000463706,0.001421809],"category_scores_gemma":[0.001637897,0.0002057636,0.0005100301,0.001773154,0.0001879178,0.001124235,0.0003708924,0.000426868,0.000308777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007234284,"about_ca_system_score_gemma":0.0009107045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07800107,"about_ca_topic_score_gemma":0.08788662,"domain_scores_codex":[0.9998778,0.00003691769,0.00001051846,0.00002624185,0.0000302777,0.00001822539],"domain_scores_gemma":[0.9995771,0.00008999491,0.00007055897,0.00004313097,0.0001835999,0.00003559482],"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":[0.0001263769,0.0001605475,0.6867372,0.0001726511,0.0002450817,0.0001714092,0.0003031286,0.2480486,0.003830784,0.007363157,0.006478679,0.04636225],"study_design_scores_gemma":[0.00002523685,0.00004322519,0.3272625,0.00006306731,0.00007178259,0.00004485186,0.0005800911,0.658058,0.002135381,0.004501792,0.007174481,0.00003958805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515484,0.0006216026,0.0194249,0.001364767,0.00006934072,0.00007466309,0.01987248,0.0005578215,0.006466083],"genre_scores_gemma":[0.9697075,0.0007450343,0.02045132,0.00005030823,0.00004667693,0.00005408941,0.008293662,0.00005924786,0.0005921485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07800107,"threshold_uncertainty_score":0.1550941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351352618176764,"score_gpt":0.2853787515939124,"score_spread":0.2618652254121447,"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."}}