{"id":"W1891536404","doi":"10.19173/irrodl.v13i5.1243","title":"Contexts in a paper recommendation system with collaborative filtering","year":2012,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Konkuk University","keywords":"Collaborative filtering; Computer science; Task (project management); Context (archaeology); Matching (statistics); Recommender system; Key (lock); Domain (mathematical analysis); Graduate students; Mathematics education; Human–computer interaction; World Wide Web; Psychology; Pedagogy; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006177988,0.00006813969,0.0001908221,0.0001096976,0.00007497177,0.0001714207,0.0007967979,0.00002136118,0.00002236583],"category_scores_gemma":[0.000256047,0.00004264811,0.00001321628,0.0005860403,0.00003892208,0.0008079043,0.0006025201,0.0003007432,0.000002881769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438731,"about_ca_system_score_gemma":0.00006771706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005737093,"about_ca_topic_score_gemma":0.000057538,"domain_scores_codex":[0.9983459,0.0007061891,0.000298298,0.0001515438,0.000304682,0.0001934319],"domain_scores_gemma":[0.9990122,0.0004329421,0.000131437,0.0001545845,0.000225923,0.00004290955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001984595,0.000344802,0.1842749,0.004446982,0.000114775,0.00003159433,0.00297098,0.0000442743,0.0003550289,0.5152373,0.00564307,0.2863378],"study_design_scores_gemma":[0.00455447,0.0008423855,0.1030503,0.12392,0.0000125443,0.0003116227,0.01799139,0.01980502,0.001816363,0.001599082,0.725259,0.0008377662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09121685,0.09291904,0.4545623,0.1248961,0.001125396,0.01344501,0.0001716521,0.0003098765,0.2213538],"genre_scores_gemma":[0.9950665,0.003496632,0.001103001,0.00008871649,0.00001925291,0.0001604752,0.00002561682,0.000003764284,0.00003599516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9038497,"threshold_uncertainty_score":0.214118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06663867889936974,"score_gpt":0.4110978480161099,"score_spread":0.3444591691167401,"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."}}