{"id":"W2801227655","doi":"10.1007/978-3-319-98809-2_3","title":"Sequence-Based Approaches to Course Recommender Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Recommender system; Dependency (UML); Sequence (biology); Dependency graph; Course (navigation); Scope (computer science); Graph; Graduation (instrument); Flexibility (engineering); Process (computing); Artificial intelligence; Machine learning; Theoretical computer science; Programming language","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009494151,0.0005064514,0.0005591903,0.001087809,0.0003194525,0.001204092,0.001302359,0.0002625518,0.00009983429],"category_scores_gemma":[0.00006705982,0.0004355183,0.0001234999,0.0009763735,0.0004070172,0.0005976055,0.0004325965,0.0003971871,0.0002912682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375339,"about_ca_system_score_gemma":0.0002589717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000209239,"about_ca_topic_score_gemma":0.0001165067,"domain_scores_codex":[0.9969984,0.000006838583,0.0004571097,0.00121655,0.000768832,0.0005522789],"domain_scores_gemma":[0.9983105,0.00008346915,0.0003394564,0.0007545006,0.0004690909,0.00004295327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002201933,0.00006999858,0.000294292,0.0005816425,0.00004143353,0.00002681351,0.0001314396,0.7389178,0.00001887556,0.005285177,0.0006325893,0.2539779],"study_design_scores_gemma":[0.00015881,0.00001530589,0.00001380189,0.0007661186,0.00006761246,0.000002677371,0.000001076393,0.9679133,0.0000213141,0.02101681,0.009367454,0.000655754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003111849,0.0002292328,0.9891836,0.003043704,0.001412511,0.0003132526,0.000004351783,0.0001714378,0.005330742],"genre_scores_gemma":[0.9535227,0.000007222646,0.02970622,0.009706439,0.006016411,0.0000375772,0.00005698112,0.0001093054,0.0008370936],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9594774,"threshold_uncertainty_score":0.9998327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226119110533135,"score_gpt":0.2559226362004747,"score_spread":0.1333107251471611,"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."}}