{"id":"W2725248349","doi":"","title":"Prediction Model Based on User Profile and Partial Course Progress for a Digital Media Learning Environment","year":2012,"lang":"en","type":"article","venue":"Databases, Knowledge, and Data Applications","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Course (navigation); Computer science; Multimedia; Human–computer interaction; Engineering","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":[0.00173295,0.0008296066,0.0008073886,0.001595238,0.0003534936,0.0009717437,0.001132593,0.00103057,0.003076468],"category_scores_gemma":[0.004547959,0.0003099709,0.0008075617,0.000806578,0.0002106598,0.0009467775,0.0004647747,0.001050226,0.001052148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007387942,"about_ca_system_score_gemma":0.0007937261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02376825,"about_ca_topic_score_gemma":0.01549563,"domain_scores_codex":[0.9995883,0.000100237,0.00003187486,0.0001346954,0.00006204275,0.00008290354],"domain_scores_gemma":[0.9954969,0.003129548,0.0002765585,0.0002119321,0.0005532073,0.0003318493],"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":[0.002276362,0.002167154,0.4827464,0.0001308463,0.000331016,0.0005914356,0.0003307291,0.4168426,0.002035404,0.001674407,0.004863024,0.08601079],"study_design_scores_gemma":[0.00001479745,0.00009210907,0.0178528,0.000005233719,0.00004427715,0.0000321367,0.00003753676,0.9813287,0.000204913,0.0003160619,0.00006226423,0.000009209823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575486,0.0001605155,0.03829839,0.0005536765,0.00005964453,0.00008080579,0.002046331,0.0004534238,0.000798603],"genre_scores_gemma":[0.9938639,0.00008026035,0.003355665,0.00002496095,0.00001935887,0.00006407865,0.001300273,0.00001248473,0.001279045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02376825,"threshold_uncertainty_score":0.04725981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428394679025835,"score_gpt":0.3380073773975127,"score_spread":0.2737234306072544,"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."}}