{"id":"W641478103","doi":"","title":"41428 室内環境中の微生物発育速度・MVOC放散のモデリングと数値予測手法の開発(第8報) : 胞子懸濁プレートを用いた増殖速度の測定とそのモデル化(化学物質反応速度測定法,環境工学II)","year":2007,"lang":"ja","type":"article","venue":"学術講演梗概集. D-2, 環境工学II, 熱, 湿気, 温熱感, 自然エネルギー, 気流・換気・排煙, 数値流体, 空気清浄, 暖冷房・空調, 熱源設備, 設備応用","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; World Wide Web","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":[0.0005818923,0.0003642144,0.0001394082,0.0007792807,0.001700695,0.00424342,0.0003302342,0.001303258,0.02578042],"category_scores_gemma":[0.001055295,0.0001717862,0.0002339131,0.0006481434,0.003451374,0.00206387,0.001139196,0.001119932,0.002812454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003178053,"about_ca_system_score_gemma":0.002300545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006895415,"about_ca_topic_score_gemma":0.008684746,"domain_scores_codex":[0.9996704,0.00009547747,0.00002082493,0.00006861571,0.00008685127,0.00005776649],"domain_scores_gemma":[0.9996281,0.000107846,0.00005102012,0.0000250169,0.0001150759,0.00007292846],"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":[0.00009159137,0.0000676412,0.003549729,0.0001157364,0.0000120311,0.0002955935,0.003332001,0.0006791356,0.001261326,0.915706,0.01380393,0.06108522],"study_design_scores_gemma":[0.00005391629,0.0002032386,0.01185636,0.0003441885,0.00003300923,0.0007189171,0.01322313,0.002202522,0.004653202,0.4777216,0.4889455,0.00004435858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06209005,0.004929176,0.008771709,0.00970561,0.0005293078,0.00005387636,0.0001302265,0.00004319849,0.9137468],"genre_scores_gemma":[0.7856243,0.003395085,0.007163805,0.001146415,0.000211636,0.00007735562,0.0001122,0.00002808575,0.2022411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02578042,"threshold_uncertainty_score":0.08624405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009305672901787269,"score_gpt":0.2289512786269457,"score_spread":0.2196456057251584,"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."}}