{"id":"W603033740","doi":"","title":"Evaluation and Assessment of Recommenders Using Monte Carlo Simulation","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Monte Carlo method; Computer science; Recommender system; Perspective (graphical); Data mining; Machine learning; Artificial intelligence; Statistics; Mathematics","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":[0.01189345,0.0007429764,0.001372037,0.001729244,0.0007046269,0.002109453,0.001696341,0.002121646,0.001840264],"category_scores_gemma":[0.0503932,0.0006203756,0.0006750597,0.001093126,0.0007512122,0.001872326,0.0009827104,0.001246225,0.0003477353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999752,"about_ca_system_score_gemma":0.001505972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481009,"about_ca_topic_score_gemma":0.01314583,"domain_scores_codex":[0.9949142,0.003430104,0.0002261068,0.0003295241,0.0009352161,0.0001649412],"domain_scores_gemma":[0.9373181,0.05405373,0.001636536,0.002534997,0.00396484,0.0004918462],"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":[0.0001763263,0.00009042994,0.002936888,0.00005618924,0.00006809332,0.00003303929,0.00007630776,0.975956,0.0003632872,0.006366478,0.0002177956,0.01365909],"study_design_scores_gemma":[0.00001041266,0.00003813685,0.0002089973,0.000007797472,0.000007271322,0.000007092614,0.000009008484,0.9981328,0.0001960715,0.001295638,0.00008014922,0.000006674507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.301093,0.0008612006,0.6887017,0.0007058959,0.00005401419,0.0005587996,0.0002703111,0.0007228563,0.007032163],"genre_scores_gemma":[0.8692241,0.0002100055,0.1292358,0.00007431329,0.00002135682,0.0002919921,0.0002001815,0.00003557714,0.0007066549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01481009,"threshold_uncertainty_score":0.06289935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2786553788226275,"score_gpt":0.4173383417429903,"score_spread":0.1386829629203628,"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."}}