{"id":"W2010718215","doi":"10.1002/smj.2232","title":"The thin red line between success and failure: Path dependence in the diffusion of innovative production technologies","year":2014,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Institut Européen d'Administration des Affaires","keywords":"Production (economics); Diffusion; Industrial organization; Asset (computer security); Quality (philosophy); Innovation diffusion; Path dependence; Business; Diffusion of innovations; Marketing; Economics; Microeconomics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005723462,0.0006511692,0.0006631445,0.002958513,0.001117986,0.003430492,0.0009483583,0.002767873,0.01419313],"category_scores_gemma":[0.07010137,0.000713301,0.0007553175,0.002604759,0.003042958,0.004845879,0.002448725,0.005038016,0.001713773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477818,"about_ca_system_score_gemma":0.0007454357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005492631,"about_ca_topic_score_gemma":0.00306542,"domain_scores_codex":[0.9975467,0.001028276,0.0001366759,0.000653221,0.0003875071,0.0002475879],"domain_scores_gemma":[0.8866512,0.09388411,0.009704629,0.004170347,0.002982378,0.002607304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002515712,0.0004389615,0.4525487,0.0008351497,0.0006286459,0.001363007,0.007475604,0.03514347,0.01062424,0.1804666,0.01337871,0.2945811],"study_design_scores_gemma":[0.0002398722,0.001049824,0.4087656,0.000676604,0.0005534056,0.003005076,0.004455987,0.195886,0.004161644,0.3651702,0.01553208,0.0005036615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755335,0.003378602,0.07485754,0.007622219,0.0002348863,0.0001932769,0.002031745,0.0007582994,0.0353899],"genre_scores_gemma":[0.9907093,0.0004958083,0.006177538,0.0002769903,0.00004715057,0.00006365318,0.0004355283,0.00005913961,0.001734884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419313,"threshold_uncertainty_score":0.0474807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08256428901609512,"score_gpt":0.3386935913747343,"score_spread":0.2561293023586391,"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."}}