{"id":"W4301182643","doi":"","title":"Chapter 8 : Managing creativity in the firm: the fuzzy front end of innovation and dynamic capabilities","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Creativity; Front and back ends; Dynamic capabilities; Business; Fuzzy logic; Knowledge management; Process management; Computer science; Industrial organization; Engineering; Mechanical engineering; Psychology; Artificial intelligence; Social psychology","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":[0.0003748524,0.0006154088,0.0004694938,0.0005624029,0.0007265485,0.003184257,0.0008707001,0.001764026,0.01994841],"category_scores_gemma":[0.001079232,0.0002991659,0.000848865,0.00093765,0.00100986,0.002298778,0.00119497,0.002363872,0.001796817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128299,"about_ca_system_score_gemma":0.001040417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429732,"about_ca_topic_score_gemma":0.001554907,"domain_scores_codex":[0.9996434,0.0000859768,0.0000157496,0.0001057323,0.0001010869,0.00004807863],"domain_scores_gemma":[0.9995259,0.0003023201,0.00002004486,0.00003479704,0.00009115308,0.00002583661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001024904,0.0001993742,0.001027561,0.001230414,0.0001161131,0.0005003036,0.001548457,0.02091379,0.00598214,0.7343123,0.06227716,0.17179],"study_design_scores_gemma":[0.00002283422,0.0001226928,0.002111391,0.001745987,0.00007182505,0.0005274015,0.001141407,0.0316908,0.005492199,0.642669,0.3143452,0.00005935694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06572828,0.1352886,0.2834083,0.03389652,0.005756893,0.000445986,0.0006612826,0.0003183656,0.4744958],"genre_scores_gemma":[0.5043681,0.08936369,0.08119886,0.002294877,0.006784554,0.0004814625,0.0005948123,0.0003244064,0.3145893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01994841,"threshold_uncertainty_score":0.06673402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157532172408947,"score_gpt":0.2158573036513157,"score_spread":0.200104086410421,"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."}}