{"id":"W1991975726","doi":"10.1108/01443570410514858","title":"Manufacturing strategy: understanding the fitness landscape","year":2004,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fitness landscape; Relevance (law); Computer science; Perspective (graphical); Complex adaptive system; Evolutionary game theory; Manufacturing; Management science; Process management; Business; Game theory; Industrial organization; Economics; Marketing; Artificial intelligence; Microeconomics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000733334,0.0001462687,0.0001161852,0.0006636244,0.0003574414,0.0008286703,0.000539528,0.00002585603,0.0001984637],"category_scores_gemma":[0.00003941968,0.0001069963,0.00009077612,0.0003590082,0.0000510512,0.001357677,0.0001612242,0.0001770528,0.0001397705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594087,"about_ca_system_score_gemma":0.00002797856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001391574,"about_ca_topic_score_gemma":0.00005531449,"domain_scores_codex":[0.998481,0.0000120546,0.000533678,0.000187047,0.0006309206,0.000155245],"domain_scores_gemma":[0.9989249,0.000007101211,0.0002805851,0.0001915126,0.0005856814,0.00001021294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004435773,0.0001535514,0.0001598644,0.00002990449,0.0002903081,0.00003668561,0.0001316511,0.09993968,0.00006936693,0.8904886,0.003402961,0.005253048],"study_design_scores_gemma":[0.01115725,0.0001695489,0.01547055,0.0009893391,0.001011716,0.0004556732,0.07131543,0.006607529,0.003798249,0.387952,0.4991298,0.001942956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1375395,0.0002592034,0.1810179,0.1256957,0.02571569,0.001686055,0.000003906624,0.0002490973,0.5278329],"genre_scores_gemma":[0.9934868,0.00004202706,0.0006588209,0.00128779,0.0031692,0.0000147263,0.00001592396,0.00001665316,0.001308027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8559473,"threshold_uncertainty_score":0.7990887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908166333518788,"score_gpt":0.2694797687155353,"score_spread":0.2303981053803474,"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."}}