{"id":"W123150388","doi":"","title":"収益認識を巡る歴史的経緯 (特集 IFRSで「収益認識」が変わる)","year":2010,"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":"Business","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":["insufficient_payload"],"category_scores_codex":[0.0005080329,0.000431475,0.0003940279,0.0002290892,0.0003474259,0.0001538057,0.0006710112,0.0008463379,0.001612464],"category_scores_gemma":[0.0002766976,0.0004756165,0.0001507565,0.0004045618,0.0002187148,0.0006833139,0.0001665114,0.002053678,0.001315055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003247465,"about_ca_system_score_gemma":0.00005631777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002065292,"about_ca_topic_score_gemma":0.0005179439,"domain_scores_codex":[0.9979074,0.00001950005,0.0005114858,0.0004704265,0.0002327783,0.0008583906],"domain_scores_gemma":[0.9987569,0.0001661081,0.0000945062,0.0008037767,0.00009051403,0.00008817449],"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":[0.00007176886,0.0003446014,0.07090069,0.001834525,0.001060258,0.0005173029,0.007363759,0.002191595,0.3537198,0.4026031,0.03189296,0.1274996],"study_design_scores_gemma":[0.004398171,0.0004069319,0.1379952,0.001113981,0.0008280701,0.0007527623,0.01742399,0.09515247,0.03691961,0.1234868,0.5734592,0.008062768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141299,0.002137773,0.0001463667,0.0004749515,0.00338935,0.0001736808,0.0000159481,0.001038963,0.1784931],"genre_scores_gemma":[0.9955549,0.0002018078,0.002233879,0.000138502,0.0009207036,0.0000172327,0.00001466059,0.00008115321,0.0008371101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5415663,"threshold_uncertainty_score":0.9997696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005596656916033196,"score_gpt":0.2029397862428014,"score_spread":0.1973431293267682,"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."}}