{"id":"W2555877494","doi":"10.1038/srep37832","title":"Meteotsunamis in the Laurentian Great Lakes","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"University of Illinois at Urbana-Champaign; Wisconsin Sea Grant Institute, University of Wisconsin; University of Wisconsin-Madison; National Oceanic and Atmospheric Administration; Russian Foundation for Basic Research; National Science Foundation","keywords":"Storm; Convective storm detection; Environmental science; Seasonality; Climatology; Spring (device); Geography; Geology; Meteorology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001281726,0.0001162213,0.000102551,0.0007564389,0.000435457,0.0005922802,0.0001270747,0.0001441112,0.0003423811],"category_scores_gemma":[0.0004637425,0.00007063819,0.0001042761,0.000800838,0.0004295627,0.0003121298,0.0005615609,0.0001152635,0.00004484196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000854528,"about_ca_system_score_gemma":0.0006243592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1058877,"about_ca_topic_score_gemma":0.2270952,"domain_scores_codex":[0.9999156,0.00001235925,0.000007909405,0.00001675974,0.00002370846,0.00002369275],"domain_scores_gemma":[0.9997275,0.00002300423,0.0001609896,0.00001246156,0.00002650553,0.0000495599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007103453,0.00001589004,0.9830834,0.00003079947,0.00004043768,0.001047321,0.001218177,0.001401036,0.002548234,0.000164187,0.000535914,0.009843544],"study_design_scores_gemma":[0.000001571429,0.000009499446,0.9983655,0.000004512032,0.000004271519,0.00007397629,0.0003956617,0.0005096919,0.0001016139,0.00003328409,0.0004973726,0.00000308609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992688,0.0001045979,0.00002394869,0.00004202396,0.000001624024,0.000001928996,0.0001087353,0.000003661121,0.0004445567],"genre_scores_gemma":[0.9994905,0.0001161196,0.00004737554,0.000009712716,0.000006238182,0.00000272836,0.0001454175,9.489399e-7,0.0001809562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058877,"threshold_uncertainty_score":0.2105426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203797959868177,"score_gpt":0.2389739765074463,"score_spread":0.2185941805206286,"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."}}