{"id":"W2617524550","doi":"10.4018/ijdsst.2017100101","title":"A Recommender System Based on Multi-Criteria Aggregation","year":2017,"lang":"en","type":"preprint","venue":"International Journal of Decision Support System Technology","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Agence Nationale de la Recherche","keywords":"Recommender system; Computer science; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003140465,0.0009048032,0.001846983,0.001756978,0.001356642,0.002494626,0.001274517,0.001969485,0.005648054],"category_scores_gemma":[0.006537877,0.0004426974,0.001737331,0.002090938,0.0004146231,0.00152105,0.00124043,0.001351479,0.002497002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623199,"about_ca_system_score_gemma":0.001338298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006504534,"about_ca_topic_score_gemma":0.007153927,"domain_scores_codex":[0.997155,0.001048674,0.0002516865,0.0005055415,0.0009203666,0.0001188107],"domain_scores_gemma":[0.9976846,0.0007566975,0.0001219901,0.0003850147,0.0009169715,0.0001346539],"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":[0.0004515508,0.0002975514,0.004264783,0.0009451116,0.001221081,0.001087106,0.0005965401,0.239817,0.01814594,0.0765831,0.03089082,0.6256993],"study_design_scores_gemma":[0.0001449447,0.0003031343,0.001420278,0.0001336087,0.0003809907,0.0006521856,0.0000996563,0.9130669,0.005740632,0.03253832,0.04536269,0.0001566473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0112154,0.00130403,0.9753497,0.0006282744,0.0003090846,0.0003240594,0.0003970386,0.00140235,0.009070031],"genre_scores_gemma":[0.2039818,0.001486248,0.7821628,0.0003143815,0.000283225,0.0004947311,0.0009524077,0.0001116492,0.01021289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006504534,"threshold_uncertainty_score":0.01889461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705083172655027,"score_gpt":0.4657868332620165,"score_spread":0.2952785159965138,"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."}}