{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001189691,0.0004956429,0.001002294,0.003118447,0.0006404937,0.001602557,0.001062616,0.0008031922,0.005624216],"category_scores_gemma":[0.004653941,0.0002803847,0.0005907563,0.003022701,0.0003308506,0.001918993,0.0007192101,0.0004702416,0.003682238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007384219,"about_ca_system_score_gemma":0.001183438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004488416,"about_ca_topic_score_gemma":0.009959267,"domain_scores_codex":[0.9990164,0.0002666623,0.00007362055,0.0001587749,0.0004002117,0.00008430212],"domain_scores_gemma":[0.9986293,0.0003844826,0.0001153669,0.0003384055,0.0004777324,0.00005466053],"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":[0.000222961,0.000243333,0.005231908,0.0004595347,0.0001589413,0.000275033,0.0001724708,0.06862152,0.01954184,0.05837959,0.0281972,0.8184956],"study_design_scores_gemma":[0.00008871432,0.0002767928,0.004157768,0.00004189485,0.0001240674,0.0008407946,0.0001181852,0.9291457,0.01231075,0.02221364,0.03060343,0.00007825487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03139369,0.0009886153,0.9527069,0.0002591391,0.00008590259,0.0002381052,0.0005830108,0.007368061,0.006376659],"genre_scores_gemma":[0.2421552,0.0004771424,0.7439539,0.0001268072,0.0001394526,0.0002547183,0.001443846,0.0003859049,0.0110631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005624216,"threshold_uncertainty_score":0.01881486,"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."}}