{"id":"W4391543347","doi":"10.1080/03155986.2024.2303906","title":"The recommender problem with convex hulls","year":2024,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hull; Convex hull; Recommender system; Computer science; Regular polygon; Combinatorics; Mathematical optimization; Artificial intelligence; Mathematics; Information retrieval; Engineering; Marine engineering; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003275291,0.0001044637,0.0001074031,0.0002354072,0.0007842575,0.006349082,0.0004116151,0.00006481938,0.000006054379],"category_scores_gemma":[0.00003431697,0.00005580751,0.00002255394,0.0004672502,0.0000784122,0.003927724,0.0001671632,0.0002824621,0.0001267425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007433657,"about_ca_system_score_gemma":0.0003170372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002228458,"about_ca_topic_score_gemma":0.00001516931,"domain_scores_codex":[0.9981693,0.0001182468,0.0004559779,0.0001431879,0.0008325645,0.0002807233],"domain_scores_gemma":[0.998482,0.000466121,0.00004622906,0.000280372,0.0006357085,0.0000895699],"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":[0.000004567056,0.000002757482,0.00006591484,0.00009918112,0.00002474358,0.00000133315,0.001110547,0.00003248644,0.000004015003,0.9112829,0.05421384,0.03315771],"study_design_scores_gemma":[0.0001090981,0.0001080837,0.0001027229,0.0001270398,7.308835e-7,0.0001038079,0.0005513017,0.07438183,0.0000485548,0.001000031,0.9233737,0.00009309146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006940687,0.002548722,0.7659478,0.02104826,0.001023828,0.002845977,0.00002844238,0.0005961643,0.2052668],"genre_scores_gemma":[0.9895861,0.0003500495,0.005102583,0.0003905112,0.0001782381,0.0009131429,0.00003004265,0.00001056531,0.003438812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.988892,"threshold_uncertainty_score":0.9946824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626835425289771,"score_gpt":0.3460890574276212,"score_spread":0.2898207031747235,"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."}}