{"id":"W40639399","doi":"10.29173/cais479","title":"Consolidating Knowledge for Aggregated Enterprise in Tourism SMEs","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge management; Tourism; Tacit knowledge; Business; Process (computing); Work (physics); Knowledge creation; Explicit knowledge; Social media; Process management; Computer science; Engineering; Marketing; Political science; World Wide Web","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004536018,0.0002231321,0.0003663925,0.0003011418,0.0001161595,0.002302771,0.0007986923,0.0001394827,0.00005658592],"category_scores_gemma":[0.007823119,0.000177646,0.00009787129,0.0007545784,0.0001973416,0.01555472,0.0003191342,0.0001813636,0.0000106471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002673321,"about_ca_system_score_gemma":0.00008846792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006455508,"about_ca_topic_score_gemma":0.00002804472,"domain_scores_codex":[0.9986556,0.000004879875,0.0005671165,0.0002487637,0.0001776064,0.0003460362],"domain_scores_gemma":[0.9613328,0.00008406314,0.000911678,0.0001160477,0.03753918,0.00001626014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004124819,0.0007481546,0.6477674,0.004113997,0.0001635401,0.000001074627,0.01066491,0.00001966268,0.07494967,0.1796935,0.03950768,0.04195796],"study_design_scores_gemma":[0.00492382,0.0002043034,0.6841356,0.003567974,0.0002387955,0.00001419062,0.01003729,0.0208471,0.05243848,0.07528086,0.1468224,0.001489152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740664,0.00006788863,0.00004000306,0.001958314,0.0001799181,0.0006347705,0.00001448218,0.00004457805,0.02299365],"genre_scores_gemma":[0.9987554,0.00001308288,0.0002447675,0.0003057893,0.0002323117,0.0001014097,0.00001135168,0.00002270874,0.0003132005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073148,"threshold_uncertainty_score":0.9987329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398634797225116,"score_gpt":0.2415705285770219,"score_spread":0.2175841806047707,"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."}}