{"id":"W2137819616","doi":"10.1145/1277741.1277980","title":"Focused ranking in a vertical search engine","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"Spamdexing; Information retrieval; Computer science; Search engine; PageRank; Ranking (information retrieval); World Wide Web; Hyperlink; Web search engine; Metasearch engine; Semantic search; Web crawler; Search analytics; Search engine optimization; Domain (mathematical analysis); Web page; Web search query","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":[0.0007238076,0.0000448686,0.00005381457,0.00013946,0.00001969953,0.00008991358,0.0004850335,0.00001555236,0.0000336512],"category_scores_gemma":[0.00001373521,0.00003809796,0.00001463122,0.0004234058,0.00001017392,0.0003947458,0.0002751263,0.00007060431,0.00009499774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001674358,"about_ca_system_score_gemma":0.00000736903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003642409,"about_ca_topic_score_gemma":0.0000354247,"domain_scores_codex":[0.9992767,0.0000106592,0.000103084,0.000166648,0.0001857997,0.0002571296],"domain_scores_gemma":[0.9996563,0.00005562577,0.000002980469,0.0002329194,0.000009928893,0.00004223757],"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":[0.000005917843,0.00007410662,0.002448135,0.000006318887,0.000005455759,0.000146624,0.0002207491,0.00002401374,0.0002354105,0.2323851,0.0005661307,0.763882],"study_design_scores_gemma":[0.002254505,0.0001049048,0.07261697,0.00002788749,0.000003056425,0.000005352251,0.00006153791,0.8937869,0.01222914,0.00368908,0.01483336,0.0003873268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02506806,0.00001080978,0.9582905,0.0006523523,0.00009079399,0.00006079804,8.221463e-8,0.00008778746,0.01573886],"genre_scores_gemma":[0.879887,0.000002294457,0.1192634,0.0002855234,0.00004137253,0.00000119671,0.000001293229,0.000003087937,0.0005148163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8937629,"threshold_uncertainty_score":0.155359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188578012161756,"score_gpt":0.2664371022391155,"score_spread":0.2445513221174979,"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."}}