{"id":"W2602088551","doi":"10.17760/d20235425","title":"Personalization in online services measurement, analysis, and implications","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Personalization; Variety (cybernetics); Competition (biology); World Wide Web; Filter (signal processing); Computer science; Content analysis; Internet privacy; Business; Advertising","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":[0.0120665,0.0006990047,0.0005672038,0.004748155,0.001069657,0.004386106,0.001026767,0.001211343,0.002203939],"category_scores_gemma":[0.05466038,0.0004775333,0.000566763,0.01250506,0.003117776,0.008088338,0.001781315,0.002239805,0.000442466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003753917,"about_ca_system_score_gemma":0.002020082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372064,"about_ca_topic_score_gemma":0.01007278,"domain_scores_codex":[0.991371,0.004888681,0.0003115195,0.001228477,0.001892214,0.0003081114],"domain_scores_gemma":[0.9393753,0.04619677,0.004147054,0.004712438,0.004548755,0.00101972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00018766,0.0005298474,0.3452139,0.0004897054,0.0002768113,0.0001561287,0.004556528,0.01811008,0.0006605714,0.16758,0.006806328,0.4554324],"study_design_scores_gemma":[0.00002717418,0.0002458274,0.3485748,0.001070933,0.0001998673,0.0004572177,0.009459423,0.1219867,0.002264338,0.4796234,0.03592282,0.0001674534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6661042,0.04179116,0.163617,0.03957956,0.0004359914,0.0005123532,0.001576177,0.0004381251,0.08594538],"genre_scores_gemma":[0.9686694,0.005925101,0.02285698,0.0005240983,0.000260943,0.00009403862,0.0002124499,0.00004736529,0.001409612],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01372064,"threshold_uncertainty_score":0.06381452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673869165969005,"score_gpt":0.2963759333456821,"score_spread":0.2696372416859921,"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."}}