{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005112903,0.0001193447,0.0001597252,0.001660303,0.000221759,0.0002972329,0.0006422312,0.00009714227,0.000004622167],"category_scores_gemma":[0.0004096069,0.00009915327,0.0000155423,0.001664304,0.0002916316,0.00340519,0.0002232519,0.0003787965,0.00003785774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738222,"about_ca_system_score_gemma":0.00009213609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167698,"about_ca_topic_score_gemma":0.000004202488,"domain_scores_codex":[0.9987945,0.000008679521,0.0003020247,0.0001648075,0.0004139237,0.0003160766],"domain_scores_gemma":[0.9993824,0.00005947899,0.0001384099,0.0002881653,0.00008984864,0.00004168346],"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":[0.000006886897,0.00003679748,0.02775034,0.00005666189,0.000002697552,0.000004667749,0.002957095,0.02061461,0.0001416627,0.8788543,0.00003209198,0.06954222],"study_design_scores_gemma":[0.0003974803,0.0003539191,0.002564345,0.0001064086,0.000001206438,0.000007519049,0.003289971,0.9707441,0.0008286961,0.009217042,0.01228157,0.0002077465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794698,0.00003307377,0.0912512,0.01544908,0.0005015597,0.0003037219,0.000001575018,0.0007812592,0.01220875],"genre_scores_gemma":[0.9956365,0.00003546484,0.00374136,0.0004526532,0.000008275231,0.000002884184,0.000005409821,0.000002355602,0.0001150669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9501295,"threshold_uncertainty_score":0.4043353,"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."}}