{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005775603,0.000128137,0.0001950103,0.0002896658,0.0003659424,0.0003515941,0.0001876853,0.0002132294,0.001558733],"category_scores_gemma":[0.000459584,0.0001846016,0.0001428298,0.0003337567,0.0003916697,0.0004887,0.0001660491,0.0002498216,0.0004033679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218972,"about_ca_system_score_gemma":0.0004888463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005711372,"about_ca_topic_score_gemma":0.01056368,"domain_scores_codex":[0.9998119,0.00002604258,0.00001136298,0.00004613206,0.00007163393,0.0000329536],"domain_scores_gemma":[0.9996582,0.00007104975,0.00004281317,0.00004471459,0.0001499453,0.00003330463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000518256,0.0002643126,0.2002669,0.0003262617,0.0001176721,0.0006309819,0.001506787,0.09564745,0.4587602,0.006437612,0.002411707,0.2331118],"study_design_scores_gemma":[0.0001330073,0.001791914,0.3785058,0.00005266802,0.0002127492,0.001038652,0.002466042,0.3575276,0.231847,0.004060313,0.02219684,0.0001674909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500937,0.0003823466,0.0400511,0.00009416557,0.00002727237,0.00004609198,0.0001370616,0.0000878284,0.009080431],"genre_scores_gemma":[0.9817517,0.0001819564,0.01615117,0.00001423381,0.000004830244,0.00001781824,0.0001203805,0.000005189153,0.001752698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005711372,"threshold_uncertainty_score":0.01135629,"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."}}