{"id":"W2743708451","doi":"10.23919/irs.2017.8008096","title":"Real-time capability of meteotsunami detection by WERA ocean radar system","year":2017,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"Typhoon; Storm surge; Radar; Geology; Storm; Current (fluid); Meteorology; Wind wave; Tsunami wave; Surge; Seismology; Remote sensing; Oceanography; Geomorphology; Geography; Telecommunications","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":[0.000941477,0.0004901208,0.0004627099,0.001018552,0.0002148621,0.0008220185,0.0004131422,0.0004289183,0.002432948],"category_scores_gemma":[0.001895095,0.0002127867,0.0001985428,0.0004068881,0.0001346902,0.0008162389,0.0005977466,0.0004186867,0.001640748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001136,"about_ca_system_score_gemma":0.0002386209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009187358,"about_ca_topic_score_gemma":0.0009698914,"domain_scores_codex":[0.999383,0.000139121,0.00006089049,0.0001322438,0.0001961042,0.00008862598],"domain_scores_gemma":[0.9991008,0.0001781801,0.00008588744,0.0001780349,0.0003952254,0.00006191794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001986021,0.0002706781,0.1183738,0.0004984732,0.0003197426,0.0009373885,0.0009264146,0.02897382,0.3379773,0.00354758,0.02203658,0.4841523],"study_design_scores_gemma":[0.0003206284,0.00074672,0.134747,0.0001365499,0.0003110151,0.00101417,0.0004597426,0.618925,0.1950475,0.002121575,0.04589652,0.0002736782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8289564,0.001105004,0.1153838,0.0006825206,0.0005056467,0.0002395464,0.005292729,0.0170392,0.03079513],"genre_scores_gemma":[0.9649613,0.0001451468,0.02912051,0.0001364414,0.00007808184,0.00008502062,0.002797975,0.0001851463,0.00249022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002432948,"threshold_uncertainty_score":0.008139014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005563911396197638,"score_gpt":0.1981190594967143,"score_spread":0.1925551481005167,"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."}}