{"id":"W22559132","doi":"10.1017/s095457941200017x","title":"1073 パルス電磁力音響法を用いたコンクリートの圧縮強度推定に関する研究(試験方法・検査(1),材料施工,2013年度日本建築学会大会(北海道)学術講演会・建築デザイン発表会)","year":2013,"lang":"en","type":"article","venue":"学術講演梗概集","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer 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":[0.0002424484,0.0001722975,0.0001706707,0.0003069701,0.0003187094,0.0007011777,0.000108536,0.0002610835,0.01294305],"category_scores_gemma":[0.0005573605,0.0001143973,0.0001935565,0.000228528,0.0002220636,0.0001404573,0.0003140012,0.0003329247,0.002207542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000446081,"about_ca_system_score_gemma":0.0004525078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005884722,"about_ca_topic_score_gemma":0.00746076,"domain_scores_codex":[0.9998585,0.0000372303,0.00001434992,0.00002666735,0.00003696683,0.00002630321],"domain_scores_gemma":[0.9997016,0.00005046724,0.0000666465,0.00002611381,0.00007558602,0.00007962679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001653768,0.0001913684,0.8998483,0.00006847655,0.0001315927,0.00106897,0.0003839475,0.0001799985,0.006078226,0.0009292296,0.003407006,0.08754755],"study_design_scores_gemma":[0.00001260433,0.0001291742,0.9846833,0.00007265557,0.0000559759,0.00188193,0.0006472726,0.0006432481,0.001628931,0.0006988082,0.009535338,0.00001082546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969312,0.00194306,0.0006457886,0.0006560336,0.0001133905,0.00001960026,0.0006933635,0.00003291567,0.02658393],"genre_scores_gemma":[0.986623,0.001331108,0.0006713322,0.0001955062,0.00004487175,0.00001806567,0.0009078938,0.000005916627,0.01020226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294305,"threshold_uncertainty_score":0.04329884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095636564527516,"score_gpt":0.2461910298773817,"score_spread":0.2352346642321065,"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."}}