{"id":"W2728424638","doi":"","title":"水平坑道の掘削に伴う坑道周辺の間隙水圧・岩盤水分量モニタリング－幌延深地層研究所140m調査坑道での測定－","year":2011,"lang":"ja","type":"article","venue":"","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007005472,0.0002567331,0.000199457,0.0007970888,0.001905797,0.001890453,0.0004401021,0.0009154746,0.0189982],"category_scores_gemma":[0.001551586,0.0002152614,0.0002458559,0.0003599437,0.002843253,0.001493378,0.0009893586,0.0008810045,0.004484525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230283,"about_ca_system_score_gemma":0.001903753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004833193,"about_ca_topic_score_gemma":0.002932168,"domain_scores_codex":[0.9992902,0.00007963418,0.00002662466,0.0001275981,0.0003845568,0.00009128937],"domain_scores_gemma":[0.9992813,0.0001538251,0.00008237409,0.00005438077,0.0003333146,0.00009468784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002195596,0.0001729623,0.007688676,0.0002942098,0.00004338734,0.0007000709,0.004593393,0.001796881,0.07761967,0.7144964,0.01761709,0.1747577],"study_design_scores_gemma":[0.00006010525,0.0005077393,0.0305542,0.0001812192,0.00006581814,0.001679686,0.007547231,0.00375806,0.141716,0.2402449,0.5735283,0.0001568221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1736857,0.002125494,0.02860925,0.004353546,0.0006083331,0.0001085026,0.0002735925,0.0002461867,0.7899894],"genre_scores_gemma":[0.7755348,0.001150231,0.01835841,0.001203502,0.0002594256,0.0001077124,0.0002171567,0.00009069911,0.203078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0189982,"threshold_uncertainty_score":0.0635553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154979931975034,"score_gpt":0.1948168997413277,"score_spread":0.1732671004215773,"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."}}