{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003518851,0.0007308634,0.001139854,0.002814953,0.0009457569,0.002835851,0.001574767,0.001449011,0.00916304],"category_scores_gemma":[0.008282969,0.0006701771,0.0007391089,0.004160719,0.0005301764,0.004720277,0.002488017,0.0007935835,0.005299262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008878122,"about_ca_system_score_gemma":0.002172086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005414901,"about_ca_topic_score_gemma":0.009463293,"domain_scores_codex":[0.9967713,0.0009654677,0.0002050708,0.0003580348,0.001346208,0.0003539675],"domain_scores_gemma":[0.9958638,0.00125584,0.0002503653,0.001149147,0.001256908,0.0002238109],"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":[0.000860207,0.0007551115,0.005738701,0.0005085966,0.0002094345,0.000785655,0.0004387869,0.05496643,0.02222752,0.2619732,0.05749479,0.5940415],"study_design_scores_gemma":[0.0003576705,0.0007827198,0.001946469,0.0001489819,0.0001694873,0.001100038,0.0002311336,0.7359375,0.01246007,0.1725069,0.07421503,0.0001439678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06358548,0.001937816,0.8900685,0.001338582,0.000231123,0.0007634345,0.00188376,0.007602935,0.03258841],"genre_scores_gemma":[0.2802992,0.0009747611,0.6826735,0.0006712648,0.0002362088,0.0004629742,0.002796553,0.0004303541,0.03145521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00916304,"threshold_uncertainty_score":0.03065348,"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."}}