{"id":"W1573421279","doi":"10.7202/1028493ar","title":"Absorptive Capacity: Scale Development and Implications for Future Research","year":2015,"lang":"en","type":"article","venue":"Management international","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Absorptive capacity; Construct (python library); Scale (ratio); Computer science; Reliability (semiconductor); Criticism; Empirical research; Management science; Data science; Knowledge management; Epistemology; Engineering; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104858,0.00005965675,0.00004949578,0.0001097974,0.0001732037,0.00004246181,0.0001931368,0.00001914045,0.000007796523],"category_scores_gemma":[0.00002306567,0.00004996024,0.00001424556,0.0000989266,0.0001071515,0.00008548271,0.0001791922,0.0000681665,0.00004435129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005304591,"about_ca_system_score_gemma":0.00000545259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002262722,"about_ca_topic_score_gemma":0.00001084377,"domain_scores_codex":[0.9992769,0.00001921112,0.00009669435,0.0002713904,0.0001907568,0.0001450598],"domain_scores_gemma":[0.9997037,0.00003898236,0.00002347284,0.00008148884,0.0001050212,0.00004732829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003087352,0.001009309,0.06313818,0.00005530336,0.0001235641,0.00002120961,0.005949302,0.000005246075,0.03418113,0.3225337,0.2418244,0.3308499],"study_design_scores_gemma":[0.0008658606,0.00008282452,0.1066372,0.00001151469,0.000009735757,0.00001130334,0.001903807,0.00001411857,0.02190118,0.02111681,0.847283,0.0001626023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944725,0.0000222336,0.0003363868,0.02077542,0.0007285117,0.0004361866,0.0000292748,0.00004136064,0.03290564],"genre_scores_gemma":[0.9856048,0.00004008476,0.004187553,0.0009430334,0.0002050616,0.0003744569,0.000009425394,0.000007781084,0.008627853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6054586,"threshold_uncertainty_score":0.203732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4545993211714231,"score_gpt":0.4645104096074608,"score_spread":0.009911088436037663,"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."}}