{"id":"W2093775807","doi":"10.1145/1940761.1940836","title":"Notes toward a politics of personalization","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Personalization; Recommender system; World Wide Web; Domain (mathematical analysis); Computer science; Resource (disambiguation); Control (management); Knowledge management; Politics; Web 2.0; Internet privacy; The Internet; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008929532,0.0005539519,0.0005928797,0.001777173,0.006590612,0.01051552,0.001371876,0.008451199,0.01017345],"category_scores_gemma":[0.009911821,0.00043692,0.0005824743,0.001859207,0.04243527,0.01855836,0.005912428,0.01635622,0.002572163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007067642,"about_ca_system_score_gemma":0.001959452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004922634,"about_ca_topic_score_gemma":0.003244644,"domain_scores_codex":[0.9930322,0.00305408,0.0001933724,0.001989745,0.001282376,0.000448089],"domain_scores_gemma":[0.9923105,0.004310338,0.0003884781,0.001644508,0.0008354916,0.0005106563],"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":[0.000007213914,0.000005205823,0.00005583033,0.000007524634,0.000001869828,0.00001098564,0.0008386559,0.00004972173,0.00002449251,0.9906623,0.006010065,0.002326191],"study_design_scores_gemma":[0.0000158758,0.00001011539,0.0002248863,0.00006600996,0.000004378488,0.00005612995,0.0005495833,0.0003480201,0.000131012,0.8002105,0.1983688,0.00001463517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0102159,0.01562392,0.03799241,0.4136331,0.002475072,0.00005349598,0.0001962646,0.0001920455,0.5196177],"genre_scores_gemma":[0.72021,0.009374291,0.0244679,0.08036859,0.01129276,0.0003592397,0.0001656188,0.000563356,0.1531983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051552,"threshold_uncertainty_score":0.05127954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547329110785553,"score_gpt":0.2242810872030157,"score_spread":0.1695481761244604,"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."}}