{"id":"W4412841400","doi":"10.1145/3757327","title":"A Comparative Survey Of Algorithmic Feed Recommendation System Designs","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Recommender Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Information retrieval; Data science","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":[0.0019277,0.0004047931,0.0009398984,0.0007932249,0.0003549205,0.0002404947,0.001568903,0.0002327322,0.00001741656],"category_scores_gemma":[0.00002832122,0.0003809545,0.0001939357,0.001563591,0.00004541846,0.0005242018,0.00005143546,0.0003748653,0.000029326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143634,"about_ca_system_score_gemma":0.0001839348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003884355,"about_ca_topic_score_gemma":0.000263074,"domain_scores_codex":[0.9957732,0.00152949,0.001223676,0.0007371948,0.0003098321,0.00042659],"domain_scores_gemma":[0.9961624,0.001139982,0.0004778842,0.00164735,0.0004534927,0.0001188681],"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":[0.0005902902,0.005238275,0.004457243,0.004651382,0.006523965,0.00002365614,0.009305003,0.004261125,0.002604519,0.0945284,0.1443938,0.7234223],"study_design_scores_gemma":[0.01247623,0.003752335,0.02852773,0.007758338,0.0005508575,0.0003745423,0.01459936,0.7268342,0.09482791,0.003426037,0.1011293,0.005743132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004212749,0.0001513998,0.9875606,0.001141161,0.003187802,0.00124048,0.0000916775,0.0006498516,0.005555781],"genre_scores_gemma":[0.9790024,0.00003803937,0.01981346,0.0001294617,0.00002452832,0.0004436403,0.00003521898,0.00002175636,0.000491533],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9785811,"threshold_uncertainty_score":0.9998642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102181417286145,"score_gpt":0.3294324895136431,"score_spread":0.227251072227498,"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."}}