{"id":"W2113958117","doi":"10.3115/1220175.1220277","title":"Names and similarities on the web","year":2006,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ranking (information retrieval); Information retrieval; Quality (philosophy); Scale (ratio); Natural language processing; Artificial intelligence; World Wide Web; Geography","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":[0.00009059013,0.00004685359,0.00003546534,0.00002429081,0.00007659777,0.0001729808,0.0003007945,0.00002045719,0.000009987932],"category_scores_gemma":[0.00001660704,0.00002433534,0.000009805457,0.00007416782,0.00003849215,0.0001297591,0.0001005605,0.00006399352,0.000003698142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005241823,"about_ca_system_score_gemma":0.000009074042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003800359,"about_ca_topic_score_gemma":0.00001520805,"domain_scores_codex":[0.9996677,0.00001406037,0.00004503318,0.0001054692,0.00008917965,0.0000785286],"domain_scores_gemma":[0.9997049,0.00008494796,0.00001343708,0.0001718312,0.00001637755,0.000008536074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[3.436758e-7,0.000004558762,0.00007518793,0.000002037652,5.952062e-7,0.000002333376,0.00003113694,2.034235e-7,0.0005394969,0.9789162,0.01450685,0.005921112],"study_design_scores_gemma":[0.00007861078,0.00005577437,0.0004453026,0.00002946597,0.000001705283,0.00001924015,0.00003475078,0.0106978,0.08503242,0.8885342,0.01488695,0.000183812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08779059,0.01229391,0.5316495,0.1354515,0.0003194046,0.0005076311,0.000004120401,0.005561547,0.2264218],"genre_scores_gemma":[0.8492617,0.000007100587,0.1471046,0.00192661,0.00002680031,0.000003874768,1.559379e-7,0.000002199152,0.00166695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7614711,"threshold_uncertainty_score":0.1668058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007681838690379605,"score_gpt":0.2216454153643378,"score_spread":0.2139635766739582,"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."}}