{"id":"W1970683543","doi":"10.1108/13673271211218843","title":"Classifying organizations by knowledge intensity – necessary next‐steps","year":2012,"lang":"en","type":"article","venue":"Journal of Knowledge Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Generalizability theory; Knowledge management; Originality; Leverage (statistics); Foundation (evidence); Empirical research; Value (mathematics); Computer science; Management science; Psychology; Engineering; Creativity; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001730998,0.0004239985,0.0005518204,0.001294286,0.000444625,0.0004698259,0.0007725898,0.0001186664,0.0004551238],"category_scores_gemma":[0.0001688774,0.0003831293,0.000207742,0.002868195,0.00009503273,0.002663123,0.0009246847,0.0004222989,0.002396025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880536,"about_ca_system_score_gemma":0.00004022039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004009797,"about_ca_topic_score_gemma":0.00001582268,"domain_scores_codex":[0.9973165,0.00004588658,0.001169194,0.0002920953,0.0004596247,0.0007166495],"domain_scores_gemma":[0.9966259,0.0000509608,0.0009579372,0.0004192192,0.001859579,0.00008643141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007017895,0.002049716,0.0152409,0.0008715076,0.0004681096,0.00002183561,0.0006356091,0.00000420732,0.0002966168,0.387936,0.5661281,0.02627714],"study_design_scores_gemma":[0.001426066,0.00002969755,0.004129938,0.0002209284,0.000429066,0.0000172624,0.00638113,0.0006577758,0.000143946,0.000908419,0.9851147,0.0005410538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008945892,0.003473531,0.005335169,0.001099866,0.006400162,0.000497214,0.000001894276,0.0001705094,0.9740757],"genre_scores_gemma":[0.9830976,0.0001280623,0.0007522323,0.001588519,0.004188425,0.00001445962,0.00003285337,0.00008598063,0.0101119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9741517,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792665519913033,"score_gpt":0.2569526376823654,"score_spread":0.2290259824832351,"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."}}