{"id":"W4323538990","doi":"10.1080/00472778.2023.2182442","title":"Agility and improvisation in Ontario’s craft breweries: Capabilities for constraints-based innovation","year":2023,"lang":"en","type":"article","venue":"Journal of Small Business Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Concordia University","funders":"","keywords":"Improvisation; Craft; Business; Context (archaeology); Marketing; Industrial organization; Dynamic capabilities; Knowledge management; Process management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002082356,0.0001982529,0.0002924711,0.001991917,0.000124144,0.000280974,0.0001875776,0.00005826331,0.000074435],"category_scores_gemma":[0.0002299426,0.0001886088,0.00005545225,0.002233908,0.0001141061,0.0006845217,0.0001314959,0.0001376124,0.00001548797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481251,"about_ca_system_score_gemma":0.00009492646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030581,"about_ca_topic_score_gemma":0.008354671,"domain_scores_codex":[0.9982472,0.00001099754,0.0009213928,0.0002376777,0.0002819283,0.0003007736],"domain_scores_gemma":[0.9977679,0.00005449175,0.0006489237,0.0001681395,0.001350376,0.00001013941],"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":[0.0008663873,0.000647499,0.1178982,0.007251512,0.0002424772,0.00009571807,0.0006795137,0.002471233,0.0003562451,0.7415134,0.01092303,0.1170548],"study_design_scores_gemma":[0.005308312,0.00005285554,0.7785907,0.0004176887,0.0001461128,0.000002656285,0.004575912,0.006724681,0.00003451471,0.03218059,0.1714647,0.000501195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371982,0.00001895881,0.01962781,0.009203199,0.001964614,0.001797891,0.000003959217,0.0001357772,0.03004961],"genre_scores_gemma":[0.9941379,0.000007143695,0.002410778,0.001666622,0.0002679182,0.00007600019,0.0000621628,0.00002549099,0.001345922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7093328,"threshold_uncertainty_score":0.7691243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935273977011795,"score_gpt":0.2407395307224828,"score_spread":0.2013867909523649,"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."}}