{"id":"W1970294714","doi":"10.3115/1614049.1614094","title":"Lycos Retriever","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Labrador Retriever; Information retrieval; World Wide Web; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006575444,0.00005264218,0.00006398462,0.00005878298,0.00003276547,0.00004693119,0.0004305133,0.00002345839,0.00004457195],"category_scores_gemma":[0.000007811799,0.00004346652,0.00003883953,0.0003865054,0.00001386596,0.0003745902,0.0001069443,0.00003757373,0.000111197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002030375,"about_ca_system_score_gemma":0.000008240202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004745885,"about_ca_topic_score_gemma":0.00001336414,"domain_scores_codex":[0.9994668,0.000008771875,0.00009887194,0.0001755178,0.0001313528,0.0001186228],"domain_scores_gemma":[0.999504,0.00001879984,0.00002641093,0.0003963087,0.00003549578,0.00001892713],"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":[3.818115e-7,0.00002426599,0.0007530206,6.577974e-7,0.000002765465,0.000007864967,0.000008032578,0.00001855911,0.002659259,0.9549844,0.02482008,0.01672073],"study_design_scores_gemma":[0.0001768169,0.00003985146,0.006550105,0.000004297765,0.000005430534,0.00001258542,0.000003637686,0.02668426,0.2313215,0.5785748,0.1562575,0.0003692645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001105944,0.00002367911,0.9202662,0.0003593487,0.00001977753,0.0000302326,6.67708e-8,0.0006793813,0.07751538],"genre_scores_gemma":[0.5804505,0.000001544794,0.4125859,0.0002367103,0.00002562076,0.000001429921,5.154983e-7,0.000002601292,0.006695067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5793446,"threshold_uncertainty_score":0.1772513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003538834136336927,"score_gpt":0.2149418701819344,"score_spread":0.2114030360455975,"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."}}