{"id":"W7144601877","doi":"","title":"近似グレブナー基底の二つの応用 (数式処理 : その研究と目指すもの)","year":2012,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"","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":[0.003999613,0.0004420067,0.0005054445,0.004638338,0.002322971,0.01054933,0.001016168,0.001337707,0.02895737],"category_scores_gemma":[0.009269489,0.0005269924,0.0004822143,0.008243193,0.002004743,0.01171799,0.002552782,0.001301591,0.01907822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975428,"about_ca_system_score_gemma":0.004855662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039929,"about_ca_topic_score_gemma":0.007627055,"domain_scores_codex":[0.9964136,0.0007318982,0.0007074664,0.0007727272,0.001107198,0.0002671395],"domain_scores_gemma":[0.994271,0.001046966,0.0007817443,0.001552101,0.001865717,0.0004823326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003398468,0.0001794551,0.0215678,0.0005432374,0.00006721896,0.0004728685,0.003576685,0.0008566185,0.003817393,0.3028983,0.2643978,0.4012829],"study_design_scores_gemma":[0.00003890674,0.00005182849,0.00708985,0.0001657723,0.00008733952,0.0005980253,0.001595426,0.001541959,0.008042408,0.03301931,0.9476667,0.000102591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07113487,0.004774445,0.2464495,0.01320867,0.003967999,0.001078033,0.06956713,0.01867223,0.5711471],"genre_scores_gemma":[0.4421988,0.00484508,0.272021,0.003111061,0.001975777,0.0007410995,0.06010392,0.002333435,0.2126698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02895737,"threshold_uncertainty_score":0.09687203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165123695679464,"score_gpt":0.2386779886431455,"score_spread":0.2221656190751992,"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."}}