{"id":"W3124575354","doi":"10.5539/ijbm.v6n8p245","title":"Exploration of Knowledge Acquisition Techniques in Tunnel Industry: The Case Study of Iran Tunnel Association","year":2011,"lang":"en","type":"article","venue":"International Journal of Business and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Iran University of Science and Technology; Worcester Polytechnic Institute; University of Calgary; Accenture","keywords":"Repertory grid; Nonprobability sampling; Timeline; Knowledge acquisition; Process (computing); Knowledge management; Computer science; Engineering; Psychology; Population; Mathematics; Statistics; Sociology; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004174112,0.0003397851,0.0002813495,0.001604054,0.005430985,0.001568219,0.001077191,0.001303243,0.003133139],"category_scores_gemma":[0.004515259,0.0002809289,0.0003303149,0.001148178,0.001476348,0.001630628,0.00181645,0.001228863,0.000418007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999388,"about_ca_system_score_gemma":0.004036108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009172522,"about_ca_topic_score_gemma":0.02999997,"domain_scores_codex":[0.9981345,0.0009746848,0.00006707723,0.0001192905,0.0002801965,0.0004241332],"domain_scores_gemma":[0.9958805,0.001919843,0.0004683947,0.0002992333,0.000726878,0.0007051341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003498852,0.002775713,0.1265515,0.000550469,0.00003506157,0.04232657,0.7102919,0.001184682,0.004309403,0.002767951,0.003446038,0.1054108],"study_design_scores_gemma":[0.00003373198,0.000721137,0.06753929,0.000269149,0.00003288187,0.00918085,0.8972031,0.002537214,0.002169956,0.0009959011,0.01926013,0.00005665343],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960583,0.00006940402,0.0008896398,0.0002380987,0.000005118295,0.0000557868,0.00001232895,0.000006626846,0.002664801],"genre_scores_gemma":[0.9945642,0.0002059576,0.002494662,0.00008839763,0.000006305169,0.00003242169,0.00002513261,0.00000549574,0.00257739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009172522,"threshold_uncertainty_score":0.02207506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07309653245323498,"score_gpt":0.2978151196606145,"score_spread":0.2247185872073795,"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."}}