{"id":"W2951150101","doi":"10.23919/springsim.2019.8732884","title":"Scalable Machine Learning Algorithms for a Twitter Followee Recommender System","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recommender system; Computer science; Scalability; Machine learning; Algorithm; Artificial neural network; Node (physics); Artificial intelligence; Multilayer perceptron; Database","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":[0.0005295467,0.0001521106,0.0002106496,0.0001053908,0.00008560384,0.0002101389,0.0009413809,0.00006783012,0.00005929393],"category_scores_gemma":[0.00002573998,0.000126259,0.00007894605,0.0001927103,0.000009193619,0.000483158,0.0004376784,0.0001342628,0.0002676832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007070192,"about_ca_system_score_gemma":0.00002572855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152638,"about_ca_topic_score_gemma":0.000003558751,"domain_scores_codex":[0.9987485,0.00004902164,0.0002147345,0.0004733158,0.0001767577,0.0003376072],"domain_scores_gemma":[0.9989216,0.000148971,0.00008270457,0.0007199512,0.00006009361,0.00006664229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005460163,0.0002932526,0.0251847,0.0006321872,0.0002716116,0.00003521499,0.001531631,0.00007823219,0.002757005,0.1743166,0.4294883,0.3653566],"study_design_scores_gemma":[0.0008311911,0.0004351739,0.0001248216,0.0001119689,0.00001072477,0.0000463394,0.0001161418,0.8070695,0.0066188,0.0009390054,0.1832609,0.0004354652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001433736,0.00002701262,0.9744384,0.0007082993,0.000381747,0.0004479225,0.000007272765,0.001524063,0.02103156],"genre_scores_gemma":[0.1838041,0.000002135283,0.8026016,0.0004766371,0.00004736537,0.00009324976,0.00002744007,0.00002413436,0.01292331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8069912,"threshold_uncertainty_score":0.5148694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218441094885018,"score_gpt":0.275451774248588,"score_spread":0.2432673632997378,"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."}}