{"id":"W3097460991","doi":"10.1080/09537325.2020.1839043","title":"Obtaining sustainable competitive advantage through collaborative dual innovation: empirical analysis based on mature enterprises in eastern China","year":2020,"lang":"en","type":"article","venue":"Technology Analysis and Strategic Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Philosophy and Social Science Foundation of Hunan Province; Nanjing University of Aeronautics and Astronautics; College of Humanities and Social Sciences, United Arab Emirates University; National Natural Science Foundation of China","keywords":"Competitive advantage; Dual (grammatical number); Business; Industrial organization; Mediation; China; Marketing","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":[0.001825674,0.0003956508,0.0003956293,0.002186693,0.001309814,0.001035457,0.0007119817,0.0004111034,0.001266571],"category_scores_gemma":[0.002244257,0.0002614043,0.0006071143,0.002442864,0.001043842,0.00121842,0.001428675,0.0004983651,0.0001770206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999751,"about_ca_system_score_gemma":0.002936006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05896075,"about_ca_topic_score_gemma":0.07961388,"domain_scores_codex":[0.9991831,0.000145993,0.00007741791,0.0001559212,0.0001682312,0.0002693105],"domain_scores_gemma":[0.9973714,0.0009434923,0.0006454819,0.0001924237,0.000421435,0.000425691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003779967,0.0002312494,0.989094,0.00002821133,0.00004270775,0.0004304302,0.003565653,0.0007132905,0.0003117347,0.0004613836,0.0000821329,0.00500132],"study_design_scores_gemma":[0.0000128467,0.0001246296,0.9852691,0.00001935641,0.00004881302,0.00008251212,0.009057605,0.004577825,0.0002420208,0.0002004741,0.000350773,0.00001402551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997867,0.0000124399,0.00004431604,0.0000084034,1.990877e-7,0.000005704877,0.00001863496,3.994196e-7,0.000123203],"genre_scores_gemma":[0.9996811,0.00003637965,0.00007589703,0.000006941729,0.00000108608,0.000009943784,0.00006882669,4.565734e-7,0.0001193765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05896075,"threshold_uncertainty_score":0.1172351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199109874928131,"score_gpt":0.2777456164365908,"score_spread":0.2578346289437777,"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."}}