{"id":"W4247078255","doi":"10.28945/4253","title":"Understanding Online Learning Based on Different Age Categories","year":2019,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Psychology; Sample (material); Online learning; Knowledge management; Medical education; Mathematics education; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004560763,0.0001371061,0.0001343955,0.0003383989,0.0004058006,0.0007347814,0.0005985945,0.00003845526,0.00002268148],"category_scores_gemma":[0.0003048092,0.0001131898,0.00002274105,0.0006193593,0.0002061586,0.0009229071,0.0001115978,0.0002608728,0.00003386174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539645,"about_ca_system_score_gemma":0.001215576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002883746,"about_ca_topic_score_gemma":0.00001081224,"domain_scores_codex":[0.9986007,0.00002102652,0.0001921245,0.0003509005,0.0005432123,0.0002919911],"domain_scores_gemma":[0.9990634,0.0001274617,0.0001234446,0.0003153007,0.0002363391,0.0001339969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001476777,0.0003360172,0.0460969,0.0001150829,0.000008348458,0.000003505444,0.008612285,0.00672652,0.001729648,0.8215306,0.0004643675,0.1143619],"study_design_scores_gemma":[0.0002513319,0.0003439509,0.01356785,0.000249049,0.000005348707,0.000006611886,0.00550148,0.9680074,0.0003747609,0.005649731,0.005690444,0.0003519953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416181,0.00001569714,0.1114873,0.01833892,0.001307699,0.0002455155,0.000001454042,0.0002260766,0.02675925],"genre_scores_gemma":[0.9946696,0.00001396443,0.001806736,0.001387645,0.00004145705,0.000003009701,0.00000649591,0.000004020767,0.00206706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9612809,"threshold_uncertainty_score":0.7085513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05973115345982866,"score_gpt":0.3063258647120755,"score_spread":0.2465947112522468,"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."}}