{"id":"W7145704754","doi":"","title":"Sierpinski gasket格子上の長距離浸透モデルにおけるランダムウォークの混合時間と等周定数 (確率論シンポジウム)","year":2019,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Class (philosophy); Property (philosophy); Point (geometry); Focus (optics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004561944,0.0008891091,0.0008110483,0.0003909351,0.0007694479,0.000246369,0.00103064,0.0007933388,0.001061105],"category_scores_gemma":[0.0003026794,0.000960294,0.0003172562,0.0008329243,0.0009006552,0.002103451,0.0004503017,0.00146469,0.003322116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005577019,"about_ca_system_score_gemma":0.0007561257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005403298,"about_ca_topic_score_gemma":0.0001568088,"domain_scores_codex":[0.9955124,0.0001132367,0.001120911,0.001183488,0.0009635302,0.00110648],"domain_scores_gemma":[0.9969233,0.000284329,0.0001853301,0.001977667,0.0002889166,0.0003404197],"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":[0.0003997979,0.0004066868,0.01021403,0.001585043,0.0009631763,0.001453679,0.0006784747,0.01094163,0.02556041,0.9258459,0.02075703,0.001194103],"study_design_scores_gemma":[0.004094187,0.0007883433,0.01559508,0.002949763,0.0005433934,0.002456313,0.002347229,0.01276362,0.02091522,0.01061639,0.9226694,0.00426102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5605975,0.01992759,0.002759935,0.0009599101,0.0290263,0.001448395,0.003295544,0.002204663,0.3797802],"genre_scores_gemma":[0.9893174,0.001185449,0.00296003,0.0001556221,0.001604688,0.000076343,0.001342002,0.00008731968,0.003271175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9152296,"threshold_uncertainty_score":0.9998521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009172466857453952,"score_gpt":0.2199949332173464,"score_spread":0.2108224663598924,"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."}}