{"id":"W25015680","doi":"10.1007/s00737-014-0441-8","title":"1598 コンクリート再生材を利用したセメントベントナイト複合固化体の開発 : その3:実施工における品質(再生骨材・再生コンクリート(4),材料施工)","year":2008,"lang":"en","type":"article","venue":"学術講演梗概集. A-1, 材料施工","topic":"Neuroendocrine regulation and behavior","field":"Psychology","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":[0.0003560172,0.0001655632,0.0001982942,0.0001398047,0.0002093277,0.000342897,0.000149394,0.0002521894,0.009465622],"category_scores_gemma":[0.0002774027,0.0001105032,0.000148359,0.0001061126,0.0002619927,0.0001384817,0.0001833321,0.0002960593,0.002225325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313853,"about_ca_system_score_gemma":0.0002006731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000848086,"about_ca_topic_score_gemma":0.001085588,"domain_scores_codex":[0.9998378,0.00003549073,0.00001542235,0.00003953693,0.00004423334,0.00002758941],"domain_scores_gemma":[0.9998416,0.00003140136,0.00004626225,0.00001054842,0.00003195593,0.00003826146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01095489,0.001738278,0.06274392,0.0006019628,0.0001684278,0.0008309028,0.0004098286,0.000155502,0.5655019,0.0008046592,0.003123647,0.3529662],"study_design_scores_gemma":[0.0005891449,0.02991417,0.7116541,0.0002180708,0.0002563309,0.00440656,0.0009598848,0.001502888,0.2102851,0.001812757,0.03835278,0.00004823454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870673,0.00359161,0.001763817,0.0001920705,0.00008809592,0.00007622765,0.0002846438,0.0000263912,0.00690983],"genre_scores_gemma":[0.9788474,0.002918747,0.004443346,0.0002045056,0.00006551932,0.0001168292,0.0005422298,0.00001064679,0.01285082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009465622,"threshold_uncertainty_score":0.03166568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07963062660580947,"score_gpt":0.3511149844412607,"score_spread":0.2714843578354512,"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."}}