{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003544822,0.0001230595,0.00009621427,0.00006648862,0.0003577726,0.000153805,0.000360834,0.00003393352,0.00002215298],"category_scores_gemma":[0.00007741406,0.0001183241,0.00002273234,0.0001028761,0.0001070648,0.001041457,0.0003083372,0.0001300913,0.00006241446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188683,"about_ca_system_score_gemma":0.00007122385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002549853,"about_ca_topic_score_gemma":0.000002656677,"domain_scores_codex":[0.9989624,0.00003908017,0.0001913373,0.0004650521,0.0001192464,0.0002229065],"domain_scores_gemma":[0.9985767,0.0002104476,0.00008494719,0.0008908532,0.00003901087,0.0001980599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005864307,0.008705119,0.1041397,0.0003580302,0.0001118326,3.561044e-7,0.002944513,0.0009590239,0.00006829961,0.2825688,0.1618744,0.4382112],"study_design_scores_gemma":[0.0002435902,0.00003000502,0.004286045,0.00002124941,0.00002670032,0.000001887149,0.00005678769,0.5186824,0.00001417622,0.00002952899,0.4765068,0.0001008575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007296585,0.0008583362,0.9922851,0.000408605,0.00008979523,0.0006683342,0.004545519,0.0001209653,0.0002937256],"genre_scores_gemma":[0.8400575,0.0001203397,0.113083,0.0001288294,0.0005888507,0.002887622,0.0420954,0.00003627708,0.001002153],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.879202,"threshold_uncertainty_score":0.4825117,"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."}}