{"id":"W6986821767","doi":"","title":"Recommendation of items with inter-dependencies: a course plan recommender system","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Recommender system; Plan (archaeology); Course (navigation); Dependency (UML); Process (computing); Markov chain; Collaborative filtering","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":[0.001442811,0.0004302163,0.001116825,0.001234638,0.0007105221,0.001027045,0.001731717,0.00151386,0.002938157],"category_scores_gemma":[0.00424062,0.0006309848,0.0009647125,0.001715309,0.0002559757,0.001607563,0.0004790038,0.0013953,0.001456335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973452,"about_ca_system_score_gemma":0.001520567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02979876,"about_ca_topic_score_gemma":0.05562534,"domain_scores_codex":[0.9992175,0.0002019788,0.00005881058,0.0002775151,0.0001795746,0.00006448713],"domain_scores_gemma":[0.9981301,0.0009944428,0.0001701054,0.0002820602,0.0003287742,0.00009447545],"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":[0.0006719583,0.001064061,0.03497541,0.000358577,0.0006768437,0.0007488155,0.0004861894,0.2081678,0.01422625,0.009134819,0.0213327,0.7081565],"study_design_scores_gemma":[0.00007333884,0.0001297494,0.00496511,0.0000244993,0.0001589772,0.0002440827,0.00006728327,0.985074,0.002266068,0.002635646,0.004323593,0.00003761199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1602659,0.001069416,0.826726,0.001926904,0.0001208223,0.0003619768,0.001536055,0.002325671,0.005667203],"genre_scores_gemma":[0.4907669,0.000751104,0.4980389,0.0004325759,0.0001246446,0.00021211,0.001806814,0.0000866182,0.007780253],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02979876,"threshold_uncertainty_score":0.05925065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256005865270496,"score_gpt":0.249828563749752,"score_spread":0.2242279772227024,"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."}}