{"id":"W1775672424","doi":"10.3968/j.ccc.1923670020120806.zrlo","title":"Studies on Time-Lag Effect of Corporate Performance Influenced by Competitive Strategy","year":2012,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Attention Economy in Education and Business","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lag; Competitive advantage; Lag time; Duration (music); Time lag; Listing (finance); Industrial organization; Strategic management; Business; Marketing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00322871,0.000425378,0.000291462,0.001377332,0.0003433213,0.0011604,0.0004022252,0.0006198673,0.005552644],"category_scores_gemma":[0.01557682,0.0001256963,0.0007516547,0.00181742,0.0005789511,0.000823174,0.0008262052,0.001126417,0.000709475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008141311,"about_ca_system_score_gemma":0.000687267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006145826,"about_ca_topic_score_gemma":0.00589515,"domain_scores_codex":[0.9973789,0.0007026841,0.0002081926,0.0005549592,0.0007158706,0.0004393839],"domain_scores_gemma":[0.9607587,0.02382443,0.009443226,0.001730957,0.002091503,0.002151199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002484498,0.0001942848,0.9846207,0.00004207787,0.0002408389,0.0001484596,0.0006271346,0.001028746,0.0006184421,0.001020703,0.0003099397,0.01090018],"study_design_scores_gemma":[0.000007900619,0.0001994287,0.9964702,0.00001114587,0.00006884714,0.00003469659,0.0004231897,0.001401834,0.0003920492,0.0003097431,0.0006694971,0.00001148809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921566,0.0005697681,0.001330505,0.0002548857,0.00003708019,0.0000256541,0.0004557665,0.00002165143,0.005147952],"genre_scores_gemma":[0.9985521,0.0001231353,0.0001057486,0.00003016121,0.00001728526,0.000009878107,0.000290341,0.000005350593,0.0008659459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006145826,"threshold_uncertainty_score":0.01857549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151997690204352,"score_gpt":0.3314198048369267,"score_spread":0.2898998279348832,"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."}}