{"id":"W1600196563","doi":"","title":"Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design.","year":2010,"lang":"en","type":"article","venue":"","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Presentation (obstetrics); Event (particle physics); Course (navigation); Track (disk drive); Instructional design; Multimedia; Human–computer interaction; Engineering","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":[0.002514967,0.0004299138,0.0003338263,0.001661612,0.0002308117,0.0008244126,0.0004593341,0.0004762797,0.0044341],"category_scores_gemma":[0.008757997,0.0002241457,0.0002580227,0.000656395,0.0001356014,0.001039248,0.001093481,0.0004542999,0.002745544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640337,"about_ca_system_score_gemma":0.0004040204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276705,"about_ca_topic_score_gemma":0.002164396,"domain_scores_codex":[0.9987268,0.000521748,0.00009509815,0.0002831843,0.0003264275,0.00004665303],"domain_scores_gemma":[0.9949703,0.0022724,0.0007343012,0.0006646314,0.00098291,0.0003754833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001534385,0.001228812,0.1543349,0.0005834811,0.0001898572,0.0001391539,0.00183771,0.002797898,0.0376693,0.0008313895,0.03630894,0.7625442],"study_design_scores_gemma":[0.0005183225,0.004573812,0.5847574,0.0001953728,0.000224407,0.0005068383,0.001229125,0.2523275,0.09901409,0.002104713,0.05425158,0.0002968923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705305,0.0003162749,0.1580031,0.0003559038,0.0001255231,0.001679263,0.01391005,0.04219483,0.01288452],"genre_scores_gemma":[0.810358,0.0001203394,0.1706437,0.0001744638,0.00004839057,0.001397801,0.008230667,0.000535501,0.008491045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0044341,"threshold_uncertainty_score":0.01483357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554576840682799,"score_gpt":0.4337054630660876,"score_spread":0.2782477789978077,"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."}}