{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009610418,0.0006312666,0.0007227802,0.004135788,0.001144148,0.004221469,0.0008120856,0.001328454,0.003415295],"category_scores_gemma":[0.07264095,0.0009513262,0.000655641,0.002602377,0.002456416,0.006399805,0.001944624,0.002077305,0.0001993458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003612402,"about_ca_system_score_gemma":0.003099181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005448446,"about_ca_topic_score_gemma":0.008830733,"domain_scores_codex":[0.9942526,0.002335869,0.0005031172,0.0008042857,0.001704189,0.0003999812],"domain_scores_gemma":[0.8862021,0.08250769,0.0183846,0.005677531,0.00411113,0.003117015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002320832,0.001564463,0.486073,0.0007201207,0.0006107833,0.001150662,0.006287825,0.1252722,0.009137806,0.1254905,0.0008289986,0.2405428],"study_design_scores_gemma":[0.0001468217,0.0009587442,0.516956,0.0003893636,0.0005264449,0.0004758968,0.002221242,0.181394,0.007119485,0.2859324,0.003415368,0.0004642126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031365,0.0007779625,0.07036165,0.001382818,0.00005162993,0.0001614301,0.0002556385,0.0001203887,0.02375187],"genre_scores_gemma":[0.9916548,0.000106376,0.007921315,0.00004161893,0.00001541465,0.00001880932,0.00007125312,0.000006120134,0.0001643447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009610418,"threshold_uncertainty_score":0.05082536,"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."}}