{"id":"W2980248196","doi":"10.28945/4313","title":"Understanding Online Learning Based on Different Age Categories","year":2019,"lang":"en","type":"article","venue":"Issues in Informing Science and Information Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Psychology; Sample (material); Online learning; Computer science; Medical education; Knowledge management; Multimedia","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":[0.001524262,0.0002395286,0.0003357522,0.001857871,0.0004142058,0.00157738,0.00038317,0.0005124621,0.006874021],"category_scores_gemma":[0.01066279,0.0001045328,0.0005347013,0.0006814412,0.0003281735,0.003032361,0.001473931,0.0006566578,0.001106052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332616,"about_ca_system_score_gemma":0.0004069674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923892,"about_ca_topic_score_gemma":0.002510177,"domain_scores_codex":[0.9992886,0.0001350389,0.00008916516,0.00009879741,0.0001912053,0.0001971304],"domain_scores_gemma":[0.9937029,0.002451954,0.001848484,0.0001939901,0.0008847343,0.0009178498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112682,0.0002195129,0.9513765,0.0001430957,0.00004124351,0.00007877579,0.008042809,0.0001221953,0.0005121365,0.0005036924,0.0007590131,0.03808845],"study_design_scores_gemma":[0.000004200122,0.000192516,0.9726323,0.0001635848,0.00002646551,0.0002264506,0.02219632,0.000510037,0.0002657123,0.0007901443,0.002974363,0.00001798036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943879,0.0002702707,0.0005543981,0.000253338,0.00001617023,0.0000606439,0.0004075918,0.00001396778,0.004035742],"genre_scores_gemma":[0.9979215,0.0001931391,0.000549838,0.00007653882,0.000007669764,0.00005474356,0.0003551011,0.00000593891,0.0008355394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006874021,"threshold_uncertainty_score":0.02299589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849722720767137,"score_gpt":0.2735260607049707,"score_spread":0.2550288334972993,"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."}}