{"id":"W2062317253","doi":"10.1145/2723372.2749448","title":"From Group Recommendations to Group Formation","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Group (periodic table); Computer science; Semantics (computer science); Voting; Scalability; Aggregate (composite); Bounded function; Heuristic; Theoretical computer science; Recommender system; Aggregation problem; Information retrieval; Database; Artificial intelligence; Mathematics; Programming language; Mathematical economics","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":[0.0006463606,0.0002524259,0.0003131172,0.0002379212,0.00008133837,0.0006469566,0.001589604,0.0002351507,0.00005609527],"category_scores_gemma":[0.0000210695,0.0002273117,0.0001050838,0.00019811,0.000006319169,0.0007403153,0.002663825,0.0003194182,0.000195811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246348,"about_ca_system_score_gemma":0.00004435324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002819226,"about_ca_topic_score_gemma":0.0004529756,"domain_scores_codex":[0.9982138,0.0001445498,0.000519573,0.0006002474,0.0002862116,0.0002355914],"domain_scores_gemma":[0.9980343,0.0000595204,0.0002166172,0.001336093,0.0001452617,0.0002082334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000018562,0.00007310588,0.00002622639,0.00002798965,0.00003166057,0.000002177831,0.002210378,0.00001139635,0.0000644598,0.06000493,0.7888107,0.1487351],"study_design_scores_gemma":[0.0002315662,0.0001341792,0.0001868969,0.0002888495,0.00001245702,0.000008058803,0.0002056961,0.03257827,0.0006221287,0.297124,0.6678424,0.0007654084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000302341,0.00006026772,0.9623013,0.01015406,0.002369581,0.0006693408,0.00004115761,0.001054087,0.02304794],"genre_scores_gemma":[0.1280254,0.00003720954,0.8682821,0.001561531,0.0005266637,0.0004865741,0.0005283411,0.00002358521,0.0005286058],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2371191,"threshold_uncertainty_score":0.9269501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06454938445932275,"score_gpt":0.3091977914740641,"score_spread":0.2446484070147414,"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."}}