{"id":"W114240433","doi":"","title":"ORGANIZATIONAL PERFORMANCE WITH ENVIRONMENTAL KNOWLEDGE INTENSITY: RESOURCE- VS. KNOWLEDGE-BASED PERFORMANCE","year":2012,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Organizational performance; Knowledge management; Organizational learning; Contingency theory; Contingency; Organizational behavior and human resources; Business; Organizational commitment; Knowledge value chain; Computer science; 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":[0.003265724,0.0004638689,0.0003491006,0.001533443,0.0005876466,0.002296851,0.000615422,0.001150361,0.005125115],"category_scores_gemma":[0.0126063,0.0001398734,0.0007734402,0.001938644,0.001401455,0.002267493,0.002578854,0.0009247669,0.0007283277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005976417,"about_ca_system_score_gemma":0.0005145656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114233,"about_ca_topic_score_gemma":0.001058788,"domain_scores_codex":[0.9964668,0.0009905972,0.0003971535,0.0004608305,0.001061254,0.0006234125],"domain_scores_gemma":[0.9773542,0.01040874,0.006838995,0.001618272,0.001321749,0.00245796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004549061,0.0007531096,0.9821097,0.00006656772,0.0002399648,0.0001224731,0.001019396,0.001443669,0.001862472,0.0008921523,0.0001821478,0.0108535],"study_design_scores_gemma":[0.00001097707,0.0003224152,0.9956519,0.00001750394,0.00003706567,0.00005770017,0.0009081204,0.001512629,0.0005464907,0.00070487,0.00021794,0.0000124619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950584,0.000103199,0.0004378154,0.0001039011,0.000005844178,0.00002501408,0.0000850307,0.000006317346,0.004174436],"genre_scores_gemma":[0.9995321,0.00002087363,0.00007826061,0.00001854072,0.000006686867,0.00001385852,0.00007412237,0.000002502565,0.0002530559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005125115,"threshold_uncertainty_score":0.01727098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03439087255174685,"score_gpt":0.2624436443382639,"score_spread":0.228052771786517,"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."}}