{"id":"W24946955","doi":"10.1136/gutjnl-2014-307397","title":"19aYN-9 ハイブリッドDFT-MDシミュレーションによる応力下Si結晶中の酸素拡散バリアの評価(格子欠陥・ナノ構造(シミュレーション・電子状態),領域10(誘電体,格子欠陥,X線・粒子線,フォノン物性))","year":2005,"lang":"ja","type":"article","venue":"日本物理学会講演概要集","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008276847,0.0006219017,0.0002776508,0.0009408785,0.003172064,0.00308167,0.0005830301,0.001403714,0.08707479],"category_scores_gemma":[0.0008815865,0.0002477317,0.000428989,0.0006506664,0.002035243,0.002029249,0.001529469,0.001760854,0.02265455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003785258,"about_ca_system_score_gemma":0.002348397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041387,"about_ca_topic_score_gemma":0.01537331,"domain_scores_codex":[0.9993933,0.0001031654,0.00004448708,0.000126636,0.0002167188,0.0001156716],"domain_scores_gemma":[0.999593,0.00004744776,0.00002985068,0.00004105898,0.0002344537,0.00005408127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001862619,0.0000958955,0.001093977,0.000132658,0.00001635419,0.0004659033,0.001376951,0.0002167176,0.004128322,0.902154,0.03475505,0.05537783],"study_design_scores_gemma":[0.00002841189,0.0001406707,0.002155974,0.00008925422,0.00001456575,0.0003558437,0.001004214,0.0003791577,0.00602356,0.08141524,0.9083643,0.00002870877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01162991,0.0009191443,0.002362822,0.001856862,0.002101794,0.00008098291,0.0003140896,0.00005561985,0.9806788],"genre_scores_gemma":[0.1205809,0.001379555,0.005409444,0.0011124,0.000459325,0.000129457,0.0004587775,0.00007567715,0.8703944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08707479,"threshold_uncertainty_score":0.2912942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064631714989962,"score_gpt":0.2043499610992672,"score_spread":0.1962853293842772,"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."}}