{"id":"W7132474352","doi":"","title":"制造商-供应商关系对成本信息披露的影响机制","year":2023,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","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":[0.003465246,0.0005171475,0.0004136734,0.001995211,0.006195579,0.01025791,0.0009191866,0.002213601,0.01030987],"category_scores_gemma":[0.005962516,0.0003247577,0.0005905849,0.002341741,0.0147983,0.01094954,0.002320157,0.002983223,0.001566543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008826389,"about_ca_system_score_gemma":0.01415927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192244,"about_ca_topic_score_gemma":0.01938812,"domain_scores_codex":[0.9971896,0.001325136,0.000132202,0.0004821081,0.0005865997,0.0002843593],"domain_scores_gemma":[0.9969565,0.001352287,0.0003141659,0.0001643391,0.000855879,0.0003568542],"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":[0.00001396146,0.00002583962,0.001342123,0.0001048658,0.00001212044,0.00008113852,0.01035084,0.0003157161,0.0001235521,0.9656174,0.00876597,0.01324647],"study_design_scores_gemma":[0.0000372896,0.00003908863,0.003427778,0.0004921708,0.00003824684,0.0001585552,0.0310088,0.001122304,0.0005904996,0.7468173,0.2162282,0.0000397559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05184137,0.009380474,0.01798885,0.06657692,0.0008740932,0.000157035,0.0003721963,0.0001277745,0.8526814],"genre_scores_gemma":[0.9104437,0.006045938,0.01234856,0.004271328,0.0003991715,0.000268157,0.0001613256,0.00006777512,0.06599399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0192244,"threshold_uncertainty_score":0.06404024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278601983488441,"score_gpt":0.2167064275016698,"score_spread":0.2039204076667853,"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."}}