{"id":"W7161998738","doi":"10.82308/39075","title":"Recommendation of items with inter-dependencies: a course plan recommender system","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Vulnerability (computing); Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630679,0.0007410739,0.001073685,0.001862108,0.0008898561,0.001588661,0.001393804,0.001775987,0.003429953],"category_scores_gemma":[0.004675237,0.0006078187,0.001175792,0.002320816,0.000235679,0.002099633,0.0005641026,0.001653797,0.002131176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008501873,"about_ca_system_score_gemma":0.002273057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04693295,"about_ca_topic_score_gemma":0.07720429,"domain_scores_codex":[0.9987411,0.0002454739,0.0001195245,0.0004059056,0.0004001194,0.0000878581],"domain_scores_gemma":[0.9975374,0.001096488,0.0001851164,0.0003289267,0.0006949989,0.0001571537],"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":[0.001278591,0.001318072,0.04660034,0.001109586,0.0007685164,0.001512103,0.0009223063,0.06834701,0.0221248,0.004242491,0.03610424,0.815672],"study_design_scores_gemma":[0.0002017876,0.0006520508,0.02384648,0.0001819195,0.0007177957,0.0008736269,0.0006053927,0.9196316,0.01231141,0.003277906,0.03753533,0.0001646886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.303318,0.006633283,0.6462852,0.005305171,0.0007437792,0.001443784,0.007232185,0.01254795,0.01649055],"genre_scores_gemma":[0.5035285,0.002351861,0.4693195,0.0006845508,0.0002749691,0.0003877085,0.005750341,0.0001788376,0.01752374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04693295,"threshold_uncertainty_score":0.09331959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492076528486903,"score_gpt":0.2666744459283417,"score_spread":0.2417536806434727,"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."}}