{"id":"W4403221688","doi":"10.1145/3640457.3688042","title":"Optimizing for Participation in Recommender System","year":2024,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Google (Canada)","funders":"","keywords":"Recommender system; Computer science; Information retrieval","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":[0.0004756252,0.00006510175,0.000096068,0.0001260242,0.00002921725,0.000241608,0.0001978704,0.00003802291,0.00000335774],"category_scores_gemma":[0.000005193442,0.00005244841,0.00004123103,0.000204284,0.000002601424,0.0003910916,0.00005095795,0.00004552446,0.00001079158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008483987,"about_ca_system_score_gemma":0.00001920139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005343209,"about_ca_topic_score_gemma":0.00002564325,"domain_scores_codex":[0.9993063,0.00003253001,0.0002113804,0.0002266818,0.00006206767,0.0001611059],"domain_scores_gemma":[0.9996421,0.0001015137,0.00001758901,0.0001924744,0.0000182394,0.00002802939],"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":[0.000001073593,0.00001769911,0.00007092536,0.0002160783,0.000009757106,0.000006242426,0.0008498766,0.00003852977,0.00009045804,0.9073972,0.01132868,0.07997344],"study_design_scores_gemma":[0.0001110261,0.00004936862,0.00006314348,0.0002126502,0.000002238274,0.000008687722,0.0001138814,0.9532563,0.002542604,0.00309935,0.04041088,0.0001298506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000249938,0.0002025349,0.9829154,0.001505029,0.0006063068,0.0002792926,5.483844e-7,0.0008084356,0.01343254],"genre_scores_gemma":[0.8362603,0.000003802239,0.1631205,0.00008371119,0.00004081117,0.0002528323,9.89131e-7,0.000006374095,0.000230676],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9532178,"threshold_uncertainty_score":0.2329832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856212727372725,"score_gpt":0.3310374789158788,"score_spread":0.2824753516421515,"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."}}