{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008237118,0.0009909316,0.002647134,0.00101333,0.00151555,0.002547928,0.002841606,0.003192167,0.005400593],"category_scores_gemma":[0.03986452,0.000706938,0.0009616172,0.001726418,0.0008897327,0.005380363,0.001983025,0.002524192,0.001415056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204018,"about_ca_system_score_gemma":0.00245263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286331,"about_ca_topic_score_gemma":0.008813845,"domain_scores_codex":[0.9907877,0.005441796,0.0003155702,0.001442003,0.001117427,0.0008954225],"domain_scores_gemma":[0.967935,0.02162007,0.0008869594,0.004322734,0.003474196,0.001761028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003308309,0.003256256,0.06133004,0.0007099478,0.0007634095,0.0005691864,0.001487082,0.3514964,0.01397492,0.07880788,0.02783328,0.4564633],"study_design_scores_gemma":[0.0001026582,0.0005408919,0.003282069,0.00003045928,0.0001200633,0.0001678749,0.0002711099,0.9568034,0.002714261,0.03252935,0.0034042,0.00003380908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3346869,0.001213975,0.6439172,0.003956939,0.0002935052,0.0004772004,0.000601113,0.001595864,0.01325733],"genre_scores_gemma":[0.9331552,0.0001548341,0.05880124,0.0001867839,0.0001588035,0.0001325029,0.0003769176,0.0001279497,0.00690572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008237118,"threshold_uncertainty_score":0.04356259,"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."}}