{"id":"W38115680","doi":"10.1002/acn3.51945","title":"1091 コンクリート中の水分移動解析手法について(物性一般)","year":2004,"lang":"en","type":"article","venue":"Proceedings of the Japan Concrete Institute","topic":"Multiple Sclerosis Research Studies","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":[0.001709352,0.0002488071,0.0003859788,0.0008181237,0.0006977301,0.001148765,0.0002572182,0.0004165529,0.03918122],"category_scores_gemma":[0.001912774,0.0002530304,0.0003211409,0.0006021354,0.0008046056,0.0004934937,0.0002844612,0.0004965568,0.01292504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007532082,"about_ca_system_score_gemma":0.0005800261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008496371,"about_ca_topic_score_gemma":0.008788998,"domain_scores_codex":[0.9992853,0.000137524,0.00008311206,0.0001161503,0.0002654027,0.0001125575],"domain_scores_gemma":[0.9988864,0.0002390085,0.0002292956,0.0000970522,0.0003940606,0.0001541825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00392027,0.0009442401,0.2342444,0.0009273214,0.0005408198,0.00297177,0.001481416,0.0003789621,0.06429402,0.006718049,0.03617092,0.6474078],"study_design_scores_gemma":[0.0002140168,0.002453938,0.8155625,0.0003987946,0.0004164373,0.01400099,0.001032369,0.0006755603,0.03402322,0.004931798,0.1261932,0.00009715153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7593558,0.02058373,0.004599448,0.00204979,0.0007912,0.0003666982,0.005757044,0.000297522,0.2061989],"genre_scores_gemma":[0.9295838,0.006907117,0.004359154,0.0008344551,0.0004523817,0.0001819165,0.004134179,0.00005696695,0.05349007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03918122,"threshold_uncertainty_score":0.1310742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03670584957481681,"score_gpt":0.2897212881324447,"score_spread":0.2530154385576279,"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."}}