{"id":"W2993892489","doi":"","title":"地域情報化最新事例 居住地以外の市町からでも住民票と印鑑証明がとれる--双方向CATV網を活用した広域証明書交付ネットワークシステム(山形県米沢市、南陽市、高畠町、川西町)","year":2000,"lang":"ja","type":"article","venue":"Theory and applications of categories","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001449595,0.0002317951,0.0003043271,0.001631173,0.002391791,0.006253453,0.0005866924,0.001355065,0.007734177],"category_scores_gemma":[0.002909109,0.0002524543,0.0004140247,0.001366895,0.01542628,0.005965611,0.001319625,0.001758491,0.001305226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256205,"about_ca_system_score_gemma":0.001732052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00645423,"about_ca_topic_score_gemma":0.004953118,"domain_scores_codex":[0.999065,0.0003787517,0.0000471145,0.0001891536,0.0002229382,0.00009699127],"domain_scores_gemma":[0.998702,0.0006100891,0.000109271,0.0001594598,0.0003469663,0.00007218759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001907578,0.000001489792,0.0001131953,0.00001159564,0.00000176879,0.000007864624,0.0005073127,0.00006012322,0.00007368966,0.9964015,0.0004881187,0.002331356],"study_design_scores_gemma":[0.000002424802,0.000004985829,0.0003110071,0.00001573852,0.000003236245,0.00004605124,0.0006005072,0.0002424235,0.000184601,0.9729702,0.02561335,0.00000540401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05156729,0.008573391,0.1963405,0.0130085,0.001021415,0.0000995569,0.0003435591,0.0001688569,0.7288771],"genre_scores_gemma":[0.8820664,0.003279986,0.04888911,0.001288078,0.0005339363,0.0001941194,0.0002313074,0.0000909183,0.06342607],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007734177,"threshold_uncertainty_score":0.02587342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004860408540608319,"score_gpt":0.2115751775057725,"score_spread":0.2067147689651642,"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."}}