{"id":"W7145413531","doi":"","title":"自己双対クロンのrigidity問題 (計算機科学の基礎理論 : 21世紀の計算パラダイムを目指して)","year":2000,"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":"Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.006712232,0.0004408548,0.0005634777,0.004335259,0.005416376,0.01297639,0.001019723,0.002022519,0.02577304],"category_scores_gemma":[0.01259303,0.0006303239,0.0006199784,0.005764943,0.004738847,0.01175741,0.003688382,0.001855054,0.01188526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004576826,"about_ca_system_score_gemma":0.007176559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271895,"about_ca_topic_score_gemma":0.01254764,"domain_scores_codex":[0.9948974,0.001517188,0.0007451134,0.0008523046,0.001574257,0.0004135892],"domain_scores_gemma":[0.9917421,0.002449446,0.0007982227,0.001099945,0.003172117,0.000738191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002851726,0.0001865501,0.01207662,0.0003437516,0.00005251366,0.0004261103,0.005797696,0.000959805,0.001469856,0.5937738,0.1274359,0.2571921],"study_design_scores_gemma":[0.00002906882,0.00008033833,0.006484941,0.0001941255,0.00008838143,0.0004645524,0.002615105,0.001003937,0.003656382,0.1174621,0.867825,0.00009610746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07825354,0.0085361,0.08229224,0.02393602,0.003943245,0.0006299705,0.0124758,0.001868541,0.7880646],"genre_scores_gemma":[0.5753812,0.01031939,0.118908,0.004656599,0.003138959,0.000753617,0.01465515,0.0007552913,0.2714318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02577304,"threshold_uncertainty_score":0.08621943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218491332896018,"score_gpt":0.2267644786537978,"score_spread":0.2145795653248377,"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."}}