{"id":"W2547859312","doi":"10.2308/jeta-51702","title":"Exercising Due Diligence in Studies of Duration of Competitive Advantage Due to Emerging Technology Adoption","year":2017,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Accounting","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competitive advantage; Duration (music); Leverage (statistics); Business; Due diligence; Premise; Industrial organization; Sample (material); Emerging technologies; Early adopter; Marketing; Computer science; 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":[0.04576361,0.0002910341,0.000577054,0.003625239,0.001432979,0.004916106,0.001761386,0.001129007,0.00662033],"category_scores_gemma":[0.2143469,0.000260564,0.001158875,0.003751065,0.003489848,0.007324134,0.004340108,0.002361133,0.0003306098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990459,"about_ca_system_score_gemma":0.002033856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002588843,"about_ca_topic_score_gemma":0.002200483,"domain_scores_codex":[0.9800956,0.01126845,0.00181127,0.001959868,0.003993292,0.0008715051],"domain_scores_gemma":[0.5951423,0.3138734,0.06115174,0.01394008,0.0109158,0.004976599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001316525,0.001000331,0.6976884,0.001528339,0.0008331141,0.0004556781,0.04628988,0.003349416,0.001271561,0.1163048,0.001125107,0.1288369],"study_design_scores_gemma":[0.0001014859,0.001729475,0.9200344,0.0007565866,0.0002393377,0.0001921606,0.02042156,0.005045111,0.001166649,0.04153001,0.00863965,0.0001434491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471387,0.003307358,0.01856185,0.001352509,0.0001233249,0.0005441756,0.0004026955,0.00002440674,0.02854504],"genre_scores_gemma":[0.9973004,0.0001736964,0.001513977,0.00008666727,0.00003850674,0.0002552434,0.00008265442,0.0000069458,0.000541919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04576361,"threshold_uncertainty_score":0.242024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599063408861537,"score_gpt":0.3679329471954154,"score_spread":0.3219423131068,"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."}}