{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006184248,0.00186009,0.002862804,0.002045398,0.002595686,0.003951098,0.003968787,0.004004214,0.005969705],"category_scores_gemma":[0.03191703,0.001468702,0.001581435,0.004074466,0.003969912,0.01064076,0.005174033,0.006008623,0.001791747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987181,"about_ca_system_score_gemma":0.002612836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007672751,"about_ca_topic_score_gemma":0.006950947,"domain_scores_codex":[0.9904146,0.004652308,0.0003514768,0.002411645,0.001724241,0.0004457073],"domain_scores_gemma":[0.9724531,0.01969077,0.001412823,0.004338482,0.001408326,0.0006965192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003456312,0.0002981332,0.003197816,0.0009781743,0.0002642609,0.0002181956,0.001577637,0.2838989,0.00128111,0.4090969,0.02283677,0.2760064],"study_design_scores_gemma":[0.0001705802,0.0001554897,0.0006016975,0.0001058906,0.00007133852,0.0001552331,0.0004080509,0.4309075,0.001431008,0.5449055,0.02103524,0.00005242874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01128948,0.002322501,0.9769638,0.002486221,0.0001715027,0.0002631139,0.000266366,0.0004504399,0.005786566],"genre_scores_gemma":[0.3050568,0.003713642,0.6802223,0.0009919989,0.0005513797,0.0006936525,0.001142848,0.0002329121,0.007394534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007672751,"threshold_uncertainty_score":0.03270584,"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."}}