{"id":"W3125508693","doi":"","title":"Use of Precedent and Antecedent Information in Strategic Cost Management","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Antecedent (behavioral psychology); Volatility (finance); Procurement; Business; Industrial organization; Marketing; Sales management; Information asymmetry; Economics; Microeconomics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005903695,0.000126164,0.000130063,0.0004286265,0.0000928115,0.0004634637,0.0001531023,0.00003556053,0.0000778968],"category_scores_gemma":[0.00002183249,0.000112528,0.00002914704,0.0003597692,0.0000250526,0.003163809,0.000126741,0.0003316084,0.0001072269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017554,"about_ca_system_score_gemma":0.00005643428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006741961,"about_ca_topic_score_gemma":0.0003481319,"domain_scores_codex":[0.9984886,0.000008758953,0.0003917633,0.0001094866,0.0002729446,0.0007284477],"domain_scores_gemma":[0.9994227,0.0000134041,0.0002950964,0.00009433948,0.0001641464,0.00001026267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000383005,0.0001347082,0.1151905,0.0002175363,0.0001339183,0.000002272865,0.00006814423,0.001550066,0.00005804743,0.8428779,0.0006522357,0.03907643],"study_design_scores_gemma":[0.003063829,0.0001037917,0.5241089,0.0003322122,0.0001795636,0.00006728266,0.01487478,0.0156341,0.00003144137,0.4185408,0.02225035,0.0008128806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921076,0.0001152439,0.002404788,0.0007948236,0.0001196182,0.0005286714,5.059849e-7,0.00002993809,0.003898861],"genre_scores_gemma":[0.9982978,0.000827105,0.0001196372,0.0003497054,0.0001172263,0.00001528174,0.00001208971,0.00001161242,0.0002495077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4243371,"threshold_uncertainty_score":0.458876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156006027034882,"score_gpt":0.19512482415536,"score_spread":0.1835647638850112,"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."}}