{"id":"W3042947088","doi":"10.5194/egusphere-egu2020-12591","title":"Linking marine fog variability in Atlantic Canada to changes in large-scale atmospheric and marine features","year":2020,"lang":"en","type":"article","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Barrie Urology Group; Bedford Institute of Oceanography; Dalhousie University","funders":"","keywords":"Environmental science; Climatology; Subtropics; Climate change; Shore; Visibility; Sea surface temperature; Climate model; Oceanography; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002393505,0.0002386275,0.0001268179,0.0005279558,0.0005124205,0.0007903693,0.0003764385,0.0002196721,0.0005339167],"category_scores_gemma":[0.0008224432,0.0001070974,0.0003737231,0.00113201,0.0002341394,0.0001586823,0.0003014806,0.0002576171,0.0000533972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005212473,"about_ca_system_score_gemma":0.004535111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9663418,"about_ca_topic_score_gemma":0.970502,"domain_scores_codex":[0.9998969,0.000007319067,0.000005616284,0.00002730163,0.00002958548,0.0000332867],"domain_scores_gemma":[0.9996163,0.00004865397,0.00005677024,0.00002059769,0.0001958755,0.00006187338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000654269,0.0000401808,0.9793355,0.00001868362,0.0001291356,0.0001442846,0.0001294136,0.01097723,0.001538908,0.0001262895,0.0007918368,0.006702992],"study_design_scores_gemma":[0.000004266932,0.000006044388,0.9841819,0.000006274694,0.00002421537,0.00001287572,0.0001414732,0.01479487,0.0002521178,0.000031361,0.0005369821,0.00000755377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970827,0.00007819393,0.0002372959,0.00009302707,0.00000871275,0.000008020057,0.001418456,0.00002927978,0.001044397],"genre_scores_gemma":[0.9983013,0.0000619913,0.0002528086,0.00001973044,0.000002408595,0.000003240621,0.001097442,0.000004506091,0.0002565359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03365821,"threshold_uncertainty_score":0.06771278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137472232030793,"score_gpt":0.1955704893221395,"score_spread":0.1841957670018315,"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."}}