{"id":"W2012892181","doi":"10.1002/smj.213","title":"A resource‐based view of manufacturing strategy and the relationship to manufacturing performance","year":2002,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":742,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Competitor analysis; Resource (disambiguation); Resource-based view; Industrial organization; Business; Perspective (graphical); Competitive advantage; Manufacturing; Computer science; Knowledge management; Marketing; Artificial intelligence","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":[0.001366482,0.0003289171,0.0001838435,0.00184762,0.0004853128,0.003950533,0.0004523752,0.0008140311,0.00557379],"category_scores_gemma":[0.005823669,0.0001099878,0.0002392339,0.001769922,0.002252287,0.002548715,0.001203066,0.0007316606,0.0004688368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00214336,"about_ca_system_score_gemma":0.0008336965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879071,"about_ca_topic_score_gemma":0.002075857,"domain_scores_codex":[0.9988379,0.0005931368,0.00003785907,0.00007933396,0.0002575094,0.0001942608],"domain_scores_gemma":[0.9938397,0.003600722,0.001108487,0.0002244443,0.0005939206,0.0006327874],"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":[0.000176548,0.0005212276,0.2623016,0.0001443621,0.0002843058,0.0008816494,0.002168208,0.04690713,0.00135175,0.6174159,0.003016391,0.06483081],"study_design_scores_gemma":[0.00007931109,0.0005000401,0.4341422,0.0002643531,0.0001236374,0.0007952729,0.006897314,0.08757939,0.001353267,0.4519221,0.01624496,0.00009808633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8149201,0.002664467,0.008568937,0.004267181,0.00003234512,0.00003381789,0.0001220001,0.00004133691,0.1693497],"genre_scores_gemma":[0.9987815,0.0001543546,0.0002011089,0.00003492663,0.00001008417,0.000003681984,0.00001799416,0.000002140603,0.0007941187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00557379,"threshold_uncertainty_score":0.01864612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05895194603887616,"score_gpt":0.2437455859016592,"score_spread":0.184793639862783,"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."}}