{"id":"W3125980359","doi":"","title":"A collaborative approach for optimizing continuity between knowledge codification with knowledge engineering methods and knowledge transfer","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge transfer; Knowledge management; Knowledge value chain; Knowledge engineering; Organizational learning; Computer science; Knowledge sharing; Knowledge integration; Domain knowledge; Procedural knowledge; Personal knowledge management; Body of knowledge; Knowledge-based systems; Process (computing); Knowledge acquisition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01375266,0.0009215535,0.001014304,0.002186544,0.002154855,0.006223539,0.002663208,0.002541271,0.004548209],"category_scores_gemma":[0.03152606,0.0007598714,0.001258397,0.002431,0.001649832,0.006739644,0.005754051,0.001660059,0.0007405261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373952,"about_ca_system_score_gemma":0.006682386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728729,"about_ca_topic_score_gemma":0.003697617,"domain_scores_codex":[0.9900711,0.004598476,0.0006251211,0.001498922,0.002613463,0.000592971],"domain_scores_gemma":[0.9782944,0.01275782,0.001734403,0.004249312,0.002417355,0.0005468056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003943321,0.001472968,0.005353646,0.0007964451,0.0002992151,0.0003001818,0.005717517,0.1028127,0.02588493,0.18632,0.002740523,0.6679075],"study_design_scores_gemma":[0.0003678183,0.001423652,0.006118373,0.0006960601,0.0005921975,0.0005693443,0.004537824,0.6562342,0.04455624,0.2462228,0.0384885,0.0001930075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04202244,0.0003552277,0.93904,0.0009086131,0.00003612719,0.0004995552,0.00002901108,0.0002848638,0.01682422],"genre_scores_gemma":[0.3247631,0.0002611558,0.669238,0.0001041967,0.00002665357,0.0006097753,0.00004793842,0.0000788937,0.004870242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01375266,"threshold_uncertainty_score":0.07273191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06311031840262336,"score_gpt":0.3973331052784699,"score_spread":0.3342227868758466,"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."}}