{"id":"W426193150","doi":"","title":"金融・保険 米国独立エージェントのテクノロジー利用","year":2009,"lang":"ja","type":"article","venue":"Canadian parliamentary review","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0197261,0.0007976316,0.0009263637,0.009888451,0.008643646,0.01105323,0.002918657,0.006357088,0.01104862],"category_scores_gemma":[0.04524712,0.0006432383,0.0006507352,0.009408442,0.004571705,0.002843649,0.001644031,0.004868831,0.001589738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09240789,"about_ca_system_score_gemma":0.314163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9308745,"about_ca_topic_score_gemma":0.9647523,"domain_scores_codex":[0.9771946,0.001776995,0.001071133,0.0007214453,0.01551317,0.003722652],"domain_scores_gemma":[0.948498,0.007404718,0.001611632,0.0007229198,0.03916533,0.002597489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006151624,0.00002019202,0.0008956302,0.00188379,0.00007295612,0.00009590267,0.0006571285,0.000266203,0.0002971783,0.07757223,0.8637356,0.05444171],"study_design_scores_gemma":[0.00001628498,0.000008716072,0.003164262,0.001325787,0.0000631942,0.00003707358,0.0005796364,0.0000535216,0.000205754,0.002076232,0.9924396,0.00002993969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005162422,0.329313,0.0007131487,0.3682429,0.01412873,0.0001893957,0.001532585,0.00008437639,0.2806335],"genre_scores_gemma":[0.2224599,0.3864308,0.003044785,0.1657691,0.005388292,0.0003537173,0.001585992,0.0001628758,0.2148046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9308745,"threshold_uncertainty_score":0.6704693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463677490801316,"score_gpt":0.229330657737988,"score_spread":0.2146938828299749,"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."}}