{"id":"W422559817","doi":"","title":"債務超過の検出法則(第一類型)--架空資産計上の傍証固めから切り込む","year":2006,"lang":"ja","type":"article","venue":"Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003288266,0.0003989036,0.0003733551,0.0002219935,0.0002914013,0.0001286186,0.0004412777,0.0005276504,0.0006083761],"category_scores_gemma":[0.00005469725,0.0004486162,0.0001451534,0.0004516771,0.0001439238,0.0005460402,0.0001055847,0.0006903514,0.0009677089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008266357,"about_ca_system_score_gemma":0.00003262471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008973071,"about_ca_topic_score_gemma":0.0002969433,"domain_scores_codex":[0.9979877,0.00002510524,0.0005541892,0.0004085644,0.0002246268,0.000799798],"domain_scores_gemma":[0.9991505,0.000114682,0.00008976504,0.0005395261,0.00006608765,0.00003947146],"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":[0.00005886091,0.0003954127,0.07399699,0.00204927,0.0006574649,0.000615596,0.001910618,0.03095794,0.0324894,0.7160084,0.1105091,0.03035099],"study_design_scores_gemma":[0.004610879,0.0003613543,0.2137089,0.001741167,0.0007497752,0.0004418106,0.01304458,0.1234432,0.01922096,0.3346908,0.2803569,0.007629659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150238,0.009181494,0.0005323645,0.0003252722,0.001075986,0.0001783001,0.00001854059,0.001207171,0.3724571],"genre_scores_gemma":[0.9955735,0.0001553887,0.001334943,0.00007159998,0.0009009586,0.00001409425,0.00002998226,0.00007254406,0.001847053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3813176,"threshold_uncertainty_score":0.9998102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168096426586608,"score_gpt":0.1890470024088708,"score_spread":0.1838789059822842,"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."}}