{"id":"W3137276971","doi":"10.3389/fmars.2021.626668","title":"The Importance of Marine Research Infrastructures in Capturing Processes and Impacts of Extreme Events","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria; University of Sudbury","funders":"Australian Research Council","keywords":"Climate change; Extreme weather; Context (archaeology); Environmental resource management; Temporal scales; Event (particle physics); Risk analysis (engineering); Sustainability; Environmental science; Geography; Ecology; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009367132,0.00007665608,0.0001774482,0.0002036902,0.0001333653,0.00004152732,0.0004735958,0.00003415921,0.0001310423],"category_scores_gemma":[0.00165231,0.00004956047,0.00001589105,0.002056782,0.001102954,0.000230652,0.0003019619,0.0002899371,6.384124e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448203,"about_ca_system_score_gemma":0.0004108463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004299407,"about_ca_topic_score_gemma":0.03582748,"domain_scores_codex":[0.9980813,0.0001021058,0.000299682,0.0002889514,0.000738846,0.000489085],"domain_scores_gemma":[0.9991998,0.0002281126,0.00005511254,0.0002064393,0.000193131,0.0001173952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005775256,0.00001282393,0.9573289,0.00007564158,0.000001867087,0.00001601795,0.0000873846,0.00007901509,0.0002701367,0.0001022885,0.00002985884,0.04193832],"study_design_scores_gemma":[0.0001770796,0.00005520296,0.971931,0.00002823503,7.091331e-7,0.000005064851,0.000328037,0.0005771758,0.001221373,0.02556095,0.00006280818,0.00005232062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974579,0.0006347088,0.00002053442,0.0002690933,0.0001021073,0.0001081379,0.000006727626,0.000002719114,0.00139803],"genre_scores_gemma":[0.9927739,0.0006716531,0.006464953,0.000009831204,0.00001725047,0.000001213888,0.00000421439,0.000001534997,0.00005546379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04188599,"threshold_uncertainty_score":0.9817662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499340400704025,"score_gpt":0.2793915655779832,"score_spread":0.2543981615709429,"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."}}