{"id":"W4285260176","doi":"10.54941/ahfe1002411","title":"Understanding dropout in distance and online learning by taking into account multiple factors","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université TÉLUQ","funders":"","keywords":"Psychology; Drop out; Distance education; Marital status; Dropout (neural networks); Mathematics education; Higher education; Medical education; Social psychology; Computer science; Sociology; Demography; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006438648,0.0004088883,0.000899161,0.002794906,0.001803093,0.002368765,0.00122959,0.0007360273,0.001946289],"category_scores_gemma":[0.01610469,0.0002857426,0.001059153,0.001867937,0.0008738975,0.002630723,0.002100772,0.001403273,0.0002666845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959664,"about_ca_system_score_gemma":0.002905319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05604665,"about_ca_topic_score_gemma":0.1003851,"domain_scores_codex":[0.9970594,0.0006723494,0.0003747502,0.0002427564,0.0009245343,0.0007262111],"domain_scores_gemma":[0.9884626,0.002578448,0.004655183,0.000494761,0.00190107,0.001907989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003170766,0.0001702836,0.9871969,0.00002947673,0.00003402605,0.00004327567,0.001918742,0.00008131618,0.00005228457,0.00009680897,0.0001966404,0.01014849],"study_design_scores_gemma":[0.000002459117,0.00009049217,0.995378,0.00004905502,0.0000256484,0.0000399118,0.003264623,0.0005166092,0.00004143377,0.0002012407,0.0003814449,0.000009039672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972398,0.0002950426,0.0006463836,0.0005054707,0.0000090857,0.00007029987,0.0001366492,0.000008869357,0.001088373],"genre_scores_gemma":[0.9985307,0.0001869567,0.0004522046,0.00009354785,0.00001235539,0.00003814762,0.0002460419,0.000003823946,0.0004361976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05604665,"threshold_uncertainty_score":0.1114409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04486186341122744,"score_gpt":0.2960575681477987,"score_spread":0.2511957047365712,"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."}}