{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001896495,0.00008735889,0.00008939725,0.0001394262,0.0002153316,0.0001297296,0.0004408869,0.00001900715,0.00004125033],"category_scores_gemma":[0.0001703279,0.00009228033,0.00002660806,0.0001930339,0.00002735197,0.0002548168,0.0003934804,0.0003817332,0.000001517151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646058,"about_ca_system_score_gemma":0.0000258138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002241431,"about_ca_topic_score_gemma":0.0001341467,"domain_scores_codex":[0.9990279,0.0000522228,0.000169882,0.0002612928,0.0003450161,0.0001436967],"domain_scores_gemma":[0.9995577,0.0001675468,0.0001269201,0.00009144546,0.00002193383,0.00003450943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008016636,0.0001185713,0.9469008,0.000005664535,0.00002534248,0.00002066726,0.003149573,0.02287173,0.0007057768,0.02276611,0.0003245556,0.003103202],"study_design_scores_gemma":[0.0003911072,0.00004042793,0.01186151,0.00002033666,0.000001810192,0.000006539959,0.002152647,0.9653108,0.00003145704,0.003545246,0.01647861,0.0001595463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7203884,0.00008557494,0.2748366,0.003894742,0.0003956187,0.00003827894,0.00001571369,0.00007989572,0.0002652055],"genre_scores_gemma":[0.9970373,0.00001344928,0.002256264,0.0001285065,0.00004180734,0.000002855266,0.00006510615,0.000008080066,0.0004466182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.942439,"threshold_uncertainty_score":0.3763083,"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."}}