{"id":"W1552577690","doi":"10.1007/978-3-642-21311-3_1","title":"Preference Elicitation and Preference Learning in Social Choice","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Preference; Computer science; Realm; Preference elicitation; Social choice theory; Preference learning; Subject (documents); Social preferences; Usability; Artificial intelligence; Data science; Human–computer interaction; World Wide Web; Psychology; Social psychology; Mathematical economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001193598,0.0002624821,0.0004784791,0.0006137386,0.0001915411,0.0001456685,0.0005119267,0.000278836,0.0000535457],"category_scores_gemma":[0.0002281579,0.0002954452,0.00004332638,0.0002282269,0.0003357034,0.000264537,0.0002073804,0.0007055398,0.00006942324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271889,"about_ca_system_score_gemma":0.00004958838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001712263,"about_ca_topic_score_gemma":0.0001501385,"domain_scores_codex":[0.9981316,0.00002782568,0.0005527712,0.0008532689,0.00008419774,0.000350285],"domain_scores_gemma":[0.9989532,0.0002774236,0.0004384944,0.000230592,0.00004631793,0.00005398733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002709948,0.00004469827,0.04453507,0.0002317729,0.00001749992,0.000009874079,0.01123848,0.003928827,0.00004611305,0.6795552,0.000006705436,0.2603587],"study_design_scores_gemma":[0.0004152891,0.0001693707,0.04520293,0.0004665934,0.000003932836,0.000008822196,0.00000135807,0.02498108,0.00006131051,0.9256548,0.002310758,0.000723791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05899003,0.001503001,0.8676645,0.0001879636,0.00124253,0.0006154663,0.00002025998,0.000111926,0.06966435],"genre_scores_gemma":[0.9965163,0.00005034273,0.002047051,0.0001174788,0.0002513667,0.000008230462,0.000004087103,0.000021398,0.0009837726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9375262,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08839179875528548,"score_gpt":0.2401833353214519,"score_spread":0.1517915365661664,"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."}}