{"id":"W2072323150","doi":"10.1145/1277741.1277979","title":"Geographic ranking for a local search engine","year":2007,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"Information retrieval; Ranking (information retrieval); Computer science; Relevance (law); Web crawler; Web search engine; Volunteered geographic information; World Wide Web; Web page; Geographic information system; Web search query; Search engine; Geography; Data science; Cartography","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":[0.0009939442,0.00005524852,0.00008062067,0.0001978714,0.00008415354,0.00007720973,0.0004595819,0.00002611598,0.00001382408],"category_scores_gemma":[0.00001664489,0.0000452653,0.00007369343,0.0004957999,0.00002407445,0.0001603108,0.00009921377,0.00005383627,0.00001820174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007448657,"about_ca_system_score_gemma":0.00001627204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000800717,"about_ca_topic_score_gemma":0.00003684492,"domain_scores_codex":[0.9992447,0.000008789515,0.0001111295,0.0002120259,0.0001561728,0.0002671126],"domain_scores_gemma":[0.9994277,0.0001453702,0.00001255103,0.0002987905,0.00005031685,0.00006525409],"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":[0.000007232126,0.00004594988,0.002510673,0.00001384925,0.00005239065,0.00001350697,0.0002390628,0.000738698,0.0003919964,0.05361516,0.0008816117,0.9414899],"study_design_scores_gemma":[0.0004878347,0.00008302917,0.002810893,0.00001314823,0.00001367678,0.000009944729,0.0001270497,0.9795446,0.004321581,0.0008819673,0.01150808,0.000198197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009050298,0.00004238617,0.9892572,0.0003354452,0.00005056406,0.00004036917,0.000001138796,0.0001145163,0.001108043],"genre_scores_gemma":[0.8428943,0.000002386146,0.1565509,0.000174272,0.0000485545,0.000002070714,0.000004695758,0.000003013638,0.0003197539],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9788059,"threshold_uncertainty_score":0.1845865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748943973332674,"score_gpt":0.2707439292375204,"score_spread":0.2532544895041937,"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."}}