{"id":"W3092605929","doi":"10.4018/ijban.2020100102","title":"Knowledge Analytics","year":2020,"lang":"en","type":"article","venue":"International Journal of Business Analytics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Analytics; Learning analytics; Cultural analytics; Big data; Data science; Business analytics; Software analytics; Computer science; Knowledge management; Variety (cybernetics); Web analytics; Semantic analytics; Data analysis; Business intelligence; World Wide Web; Web intelligence; Business; Artificial intelligence; Data mining; Web service; Software","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005960665,0.001350932,0.00132146,0.009539641,0.001861103,0.01794175,0.003691457,0.002049798,0.03370674],"category_scores_gemma":[0.02757083,0.0005162588,0.001706719,0.00999811,0.001732226,0.01676572,0.007989219,0.0027329,0.03131786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002144485,"about_ca_system_score_gemma":0.004905417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918356,"about_ca_topic_score_gemma":0.002710188,"domain_scores_codex":[0.9907979,0.002052745,0.0009286887,0.001651826,0.004010044,0.0005587726],"domain_scores_gemma":[0.9815165,0.005037815,0.0009585985,0.006024808,0.005437879,0.001024482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001283038,0.0001365175,0.004008444,0.001960156,0.0002452288,0.0003669095,0.0009318974,0.003019944,0.001129266,0.1859675,0.2662154,0.5358904],"study_design_scores_gemma":[0.00001719387,0.00003365819,0.001460837,0.0009920874,0.00004967716,0.0002980459,0.001118475,0.007982933,0.001268551,0.208098,0.7786302,0.00005043743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01137059,0.0263558,0.3620897,0.04873567,0.005033369,0.002384037,0.03848946,0.0181481,0.4873933],"genre_scores_gemma":[0.227078,0.04905901,0.4356126,0.01447675,0.005943211,0.00177665,0.1191982,0.00356775,0.1432879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03370674,"threshold_uncertainty_score":0.1127602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831981402292337,"score_gpt":0.3061722542135386,"score_spread":0.2678524401906152,"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."}}