{"id":"W1569274598","doi":"10.19173/irrodl.v15i6.1935","title":"An approach for externalization of expert tacit knowledge using a query management system in an e-learning environment","year":2014,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Externalization; Tacit knowledge; Explicit knowledge; Knowledge management; Subject (documents); Subject-matter expert; Expert system; World Wide Web; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004690338,0.0009441764,0.0010802,0.001609177,0.001295687,0.003661358,0.00430266,0.002698293,0.002249866],"category_scores_gemma":[0.007546109,0.0006381925,0.001051922,0.001506282,0.001892475,0.005177468,0.003235156,0.002210552,0.001139029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116505,"about_ca_system_score_gemma":0.002398362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006156116,"about_ca_topic_score_gemma":0.003491281,"domain_scores_codex":[0.9958781,0.001109477,0.0002926079,0.001039441,0.001361822,0.0003185029],"domain_scores_gemma":[0.9949634,0.001852321,0.0003373951,0.001425981,0.001096556,0.0003243176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009899478,0.001846019,0.00752993,0.0007133489,0.0002756365,0.001742073,0.009289563,0.03934363,0.1400533,0.1130536,0.01983535,0.6653277],"study_design_scores_gemma":[0.000199703,0.0006030471,0.003364834,0.00009912799,0.0003122381,0.001426517,0.001880219,0.8148023,0.06636764,0.03811207,0.07259966,0.0002326718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0187411,0.0003078348,0.9712244,0.0008573104,0.00007750878,0.0004307815,0.00006947755,0.004137915,0.00415373],"genre_scores_gemma":[0.2803198,0.0004320604,0.7052209,0.000801597,0.0001566483,0.0004688399,0.0004238659,0.000404052,0.01177235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006156116,"threshold_uncertainty_score":0.02480513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793234869725969,"score_gpt":0.5220524801915015,"score_spread":0.3427289932189046,"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."}}