{"id":"W3166269513","doi":"10.3390/fluids6070236","title":"Adaptive Wavelet Methods for Earth Systems Modelling","year":2021,"lang":"en","type":"article","venue":"Fluids","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atmosphere (unit); Computer science; Wavelet; Climate model; Scale (ratio); Earth system science; Focus (optics); Meteorology; Geology; Climate change; Artificial intelligence; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045952,0.0008618096,0.0009003548,0.0009144141,0.0002746117,0.001494507,0.001059119,0.001233292,0.007200339],"category_scores_gemma":[0.003022709,0.0003624135,0.0009989286,0.001612672,0.0007006684,0.001177222,0.001494495,0.002226686,0.002271803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862771,"about_ca_system_score_gemma":0.0009881279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00535709,"about_ca_topic_score_gemma":0.003208904,"domain_scores_codex":[0.9995627,0.0001959997,0.00002827123,0.00005222308,0.0001371823,0.00002367477],"domain_scores_gemma":[0.9993278,0.0003979278,0.00005064693,0.00007774092,0.0001188112,0.00002712647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001639544,0.00001963,0.0005531677,0.0004046907,0.0001034865,0.0001005025,0.0001225539,0.400442,0.0009552478,0.4487153,0.02414523,0.1244217],"study_design_scores_gemma":[0.00001199524,0.00001285138,0.0002366804,0.00009352626,0.00001025311,0.00004462014,0.00004102368,0.6881636,0.0002143654,0.2378751,0.07328033,0.00001557624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001347662,0.008463286,0.9735097,0.001966396,0.0006825984,0.00006092973,0.0007550636,0.0005945411,0.01261983],"genre_scores_gemma":[0.178596,0.03459141,0.7462855,0.0007502562,0.001938986,0.0009349529,0.003117749,0.001043443,0.03274174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007200339,"threshold_uncertainty_score":0.02408749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0754809935892316,"score_gpt":0.3410669198267633,"score_spread":0.2655859262375317,"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."}}