{"id":"W7145652795","doi":"","title":"低濃縮ウラン(LEU)からの99Mo製造プロセスに関する調査","year":2011,"lang":"ja","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Countermeasure; Shutdown; Process (computing); Atomic energy; Nuclear power","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":[0.00341201,0.0007578431,0.0007264457,0.00981401,0.001301575,0.004075904,0.001480327,0.0005523249,0.02956101],"category_scores_gemma":[0.006918716,0.0005055356,0.0003907635,0.01317352,0.0004493422,0.002722318,0.001702743,0.0007462274,0.03825326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419299,"about_ca_system_score_gemma":0.004841608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03107705,"about_ca_topic_score_gemma":0.02577932,"domain_scores_codex":[0.9973556,0.0003161595,0.0003099912,0.0003562711,0.001437716,0.0002243335],"domain_scores_gemma":[0.9917903,0.001389151,0.00115211,0.001616219,0.0034087,0.0006435144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002209619,0.0003202896,0.03792305,0.002226876,0.00006288959,0.0006089766,0.0004705604,0.00115783,0.0145297,0.009251281,0.6796623,0.2515766],"study_design_scores_gemma":[0.00007148342,0.00008962038,0.02871118,0.0001310325,0.00003782737,0.0005201267,0.000219183,0.001006073,0.02151726,0.0006806359,0.9469584,0.00005730668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03731811,0.003258197,0.008553023,0.001796112,0.0002184805,0.0005896651,0.8164241,0.01424402,0.1175983],"genre_scores_gemma":[0.03160769,0.002743836,0.01929624,0.0002134343,0.00005654454,0.0003270229,0.8960981,0.001158849,0.04849841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03107705,"threshold_uncertainty_score":0.09889144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07017411935261905,"score_gpt":0.3008216596286251,"score_spread":0.2306475402760061,"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."}}