{"id":"W7053975462","doi":"","title":"和歌山県沿岸に設置した海洋レーダによる近地津波および遠地津波の観測性能に関する数値実験","year":2015,"lang":"en","type":"article","venue":"Kansai University Institutional Repository (Kansai University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radar; Peninsula; Field (mathematics); Near and far field; Tsunami wave; Seismic energy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001020133,0.0002681939,0.0002212759,0.000454057,0.000660815,0.00004818869,0.0006125045,0.0001993106,0.0000413299],"category_scores_gemma":[0.00001210938,0.0003455947,0.0001549185,0.000974419,0.0003698966,0.0008540644,0.00009530049,0.0003040035,0.0003054092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230101,"about_ca_system_score_gemma":0.0004959232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001827605,"about_ca_topic_score_gemma":0.00003689401,"domain_scores_codex":[0.9986382,0.00007130374,0.0001619126,0.0003782978,0.0003852178,0.0003650706],"domain_scores_gemma":[0.9987401,0.00004533614,0.00005071475,0.0004101282,0.0002295478,0.0005241344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005283662,0.0007148699,0.003938914,0.0001730379,0.0008412895,0.007562656,0.002012245,0.2549778,0.01714528,0.5935875,0.1166441,0.001873971],"study_design_scores_gemma":[0.001502909,0.00005222312,0.0006236504,0.00003438598,0.0001197971,0.0001543658,0.0013676,0.006320042,0.002531895,0.0002296614,0.9865124,0.0005511128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1826837,0.0001375828,0.06299015,0.000289003,0.001175561,0.0003963579,0.0001313671,0.001614141,0.7505821],"genre_scores_gemma":[0.9493893,0.00005497548,0.001717518,0.00005313398,0.000166185,4.855067e-7,0.0000648767,0.00002399892,0.04852958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8698682,"threshold_uncertainty_score":0.9998996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578009378176314,"score_gpt":0.1620791675335218,"score_spread":0.1462990737517587,"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."}}