{"id":"W4400069818","doi":"10.1080/08956308.2024.2352690","title":"Configuring Technology Resources and Organizational Practices for Innovation Success","year":2024,"lang":"en","type":"article","venue":"Research-Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Business; Knowledge management; Technology innovation; Process management; Industrial organization; Computer science","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":[0.003803608,0.0004347583,0.000235431,0.004269011,0.001409098,0.00642686,0.0006470778,0.0006660479,0.00371084],"category_scores_gemma":[0.01648535,0.0002472343,0.0004119747,0.002894904,0.002438338,0.004754884,0.002856561,0.0004891385,0.0005846011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145466,"about_ca_system_score_gemma":0.004061823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003626348,"about_ca_topic_score_gemma":0.003623654,"domain_scores_codex":[0.9966733,0.001265834,0.0003818166,0.0004465859,0.0007724875,0.0004597762],"domain_scores_gemma":[0.9852087,0.006052893,0.003993856,0.002003875,0.001622417,0.001118222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914572,0.0005485746,0.5118003,0.0005196503,0.0001497921,0.0005408181,0.01253821,0.009008158,0.01592642,0.09618468,0.001437812,0.3511541],"study_design_scores_gemma":[0.00006506658,0.0006210554,0.7976058,0.0005726828,0.0001932468,0.00104046,0.02921505,0.04310614,0.01765503,0.08685321,0.02290482,0.0001674774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034381,0.0003410024,0.03651222,0.0007888087,0.00001381464,0.0002831906,0.0002323678,0.0003024633,0.05808814],"genre_scores_gemma":[0.9887732,0.00004951464,0.01051701,0.00001552085,0.000004033068,0.0000441353,0.00005366543,0.00001066914,0.000532248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00642686,"threshold_uncertainty_score":0.02282208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05879375546309985,"score_gpt":0.3611139206702982,"score_spread":0.3023201652071983,"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."}}