{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000288167,0.0001559288,0.0003124006,0.0003176956,0.00004419047,0.00031556,0.002061465,0.00006254575,0.00003038126],"category_scores_gemma":[0.0006489377,0.000134553,0.0002072266,0.001039316,0.0000490644,0.0005690564,0.000283553,0.0003291372,0.00006553727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007080277,"about_ca_system_score_gemma":0.0003590256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000390731,"about_ca_topic_score_gemma":0.000001779936,"domain_scores_codex":[0.998228,0.00004194573,0.0006580295,0.00018639,0.0007062921,0.0001794105],"domain_scores_gemma":[0.9959894,0.0001065132,0.0005696834,0.0001924271,0.002924244,0.0002176949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002479501,0.001829025,0.03295117,0.0001833649,0.003676742,0.003844405,0.004571431,0.4434843,0.002340849,0.1984061,0.04093845,0.2675262],"study_design_scores_gemma":[0.000899863,0.000128058,0.004623014,0.0001016551,0.00009640402,0.000220956,0.00009070164,0.897772,0.00021274,0.003150309,0.09242611,0.0002782603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006060116,0.0003277987,0.9135262,0.0766558,0.001294056,0.000026139,0.000005014965,0.00005315456,0.002051703],"genre_scores_gemma":[0.9765171,0.0002186999,0.01998653,0.001353797,0.001578021,1.53947e-7,0.000003158601,0.00001425702,0.0003283301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.970457,"threshold_uncertainty_score":0.5486914,"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."}}