{"id":"W3005672929","doi":"","title":"High-Frequency Radar detection of a possible meteo-tsunami in British Columbia, Canada","year":2018,"lang":"en","type":"article","venue":"EGUGA","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Radar; Remote sensing; Meteorology; Geography; Environmental science; Telecommunications; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001339784,0.00004909059,0.0001582648,0.00003903844,0.00008525183,0.00005717825,0.0001243463,0.00003789072,0.002442833],"category_scores_gemma":[0.0000311942,0.00006915658,0.00003494335,0.0004135193,0.00005952764,0.0000942464,0.000005083495,0.00006345743,0.00001650763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878727,"about_ca_system_score_gemma":0.0001622568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999434,"about_ca_topic_score_gemma":0.9998969,"domain_scores_codex":[0.9992042,0.00003892598,0.0002002175,0.0001694257,0.0001916953,0.0001955261],"domain_scores_gemma":[0.9996749,0.00003244529,0.00006578163,0.0001252088,0.00003900685,0.00006271322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003163921,0.000009032074,0.9596691,0.000009748654,0.00002205928,0.00003317013,0.00002675272,0.00005018238,0.0004922182,0.000003297379,0.0007152418,0.03896604],"study_design_scores_gemma":[0.0001887532,0.0000832558,0.9963281,0.00001914268,0.00001384629,0.000009829635,0.0001401121,0.0005380117,0.0003827202,0.0007587815,0.001432269,0.0001051599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978635,0.0002469314,0.00001888821,0.00005806873,0.0003285749,0.00005044648,0.0001294392,0.00000897199,0.001295153],"genre_scores_gemma":[0.9985495,0.00002572475,0.0004561311,0.0001584336,0.0001131405,3.395072e-7,0.00003599908,0.00000222469,0.0006584839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03886088,"threshold_uncertainty_score":0.9984691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00444263634924568,"score_gpt":0.1646162833102391,"score_spread":0.1601736469609934,"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."}}