{"id":"W4388713767","doi":"10.1016/j.simpa.2023.100597","title":"IBGR: Influence-Based Group Recommendation system","year":2023,"lang":"en","type":"article","venue":"Software Impacts","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Group (periodic table); Computer science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007669135,0.0001888887,0.000216867,0.0003118175,0.0001866935,0.0003207661,0.0006495346,0.0001093574,0.000008885684],"category_scores_gemma":[0.0001582101,0.0001670526,0.00009017926,0.001039318,0.00001713784,0.0008189352,0.0001706261,0.0001349415,0.0003409875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887269,"about_ca_system_score_gemma":0.00008946889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002076274,"about_ca_topic_score_gemma":0.00001820947,"domain_scores_codex":[0.998423,0.0001320137,0.0003410645,0.0003846226,0.0002637946,0.0004554759],"domain_scores_gemma":[0.998695,0.0002161032,0.0001680535,0.0006366608,0.00009655559,0.0001876345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003379417,0.0002240141,0.09628921,0.001574069,0.0001484383,0.0002506992,0.002174151,0.0005593957,0.001792417,0.04190277,0.2398965,0.6151545],"study_design_scores_gemma":[0.004995498,0.002301557,0.5201422,0.003834931,0.00006505085,0.0003732533,0.0006620558,0.1238925,0.02079387,0.0151016,0.3034401,0.004397387],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04410312,0.00003678974,0.9424956,0.001856892,0.001029151,0.0004837753,0.00001641545,0.008936775,0.001041503],"genre_scores_gemma":[0.9734196,0.000007387309,0.02580975,0.0004956088,0.00007757619,0.00007499963,0.00004173049,0.00002236825,0.00005094622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9293165,"threshold_uncertainty_score":0.6812207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103869038804373,"score_gpt":0.2660613801484458,"score_spread":0.245022689760402,"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."}}