{"id":"W2102423866","doi":"10.1145/775047.775144","title":"Item selection by \"hub-authority\" profit ranking","year":2002,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Analogy; Ranking (information retrieval); Profit (economics); Computer science; Selection (genetic algorithm); Operations research; Microeconomics; Information retrieval; Machine learning; Economics; Mathematics","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":[0.0001212402,0.00007083416,0.00006411129,0.00003974475,0.0001801349,0.0002039028,0.00042966,0.00003444424,0.0001330214],"category_scores_gemma":[0.0000145243,0.00006455558,0.0000220378,0.0004500289,0.0000119301,0.0004340106,0.00008596833,0.00008349193,0.0003078255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981352,"about_ca_system_score_gemma":0.000005546053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003943709,"about_ca_topic_score_gemma":0.000002924794,"domain_scores_codex":[0.9992703,0.00001548112,0.0001166075,0.0002817044,0.0001441396,0.0001718127],"domain_scores_gemma":[0.9995717,0.00003565388,0.00003422826,0.0002681458,0.00003648967,0.00005373652],"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":[2.943064e-7,0.00006802029,0.0007849628,0.000005248529,0.000009662579,8.77235e-7,0.0002851563,0.00000433781,0.002335021,0.086255,0.233368,0.6768834],"study_design_scores_gemma":[0.0001405726,0.0000309487,0.00039442,0.00000564933,0.000003029971,0.00001562936,0.00001219086,0.8425871,0.003902758,0.0006683864,0.1520797,0.0001596822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002671167,0.00007556439,0.9773219,0.002250181,0.0001031925,0.0001117905,0.000004481524,0.0004124288,0.01704928],"genre_scores_gemma":[0.3508743,0.00004375193,0.6116766,0.0008323092,0.0002170527,0.0001228589,0.00002194342,0.00001853757,0.03619268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8425827,"threshold_uncertainty_score":0.3956576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168926787257239,"score_gpt":0.2389541427386111,"score_spread":0.2172648748660387,"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."}}