{"id":"W2402131239","doi":"","title":"Using Stream Features for Instant Document Ranking.","year":2013,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Instant; Ranking (information retrieval); Computer science; Information retrieval; Biology; Food science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385195,0.0001682435,0.0001856785,0.0001585386,0.0003457893,0.0004359284,0.0002700498,0.00006349832,0.00001355793],"category_scores_gemma":[0.000102035,0.0001421303,0.00006500308,0.0002444619,0.00005597849,0.0106973,0.0001347344,0.00006679454,0.00004269595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039268,"about_ca_system_score_gemma":0.00007472013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003571748,"about_ca_topic_score_gemma":0.00001236827,"domain_scores_codex":[0.998804,0.00002754557,0.0004753387,0.000147961,0.0002296838,0.0003154713],"domain_scores_gemma":[0.9989179,0.00005582715,0.0002877395,0.0003832936,0.0002810605,0.00007420103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001773103,0.00001670801,0.0001707705,0.0004366444,0.00004128869,0.00000109254,0.005815643,0.001868829,0.0009550314,0.6747265,0.001524659,0.3144251],"study_design_scores_gemma":[0.004812987,0.0008862705,0.007999751,0.001763945,0.00006112499,0.0004533423,0.007948181,0.268007,0.03068403,0.1409506,0.5336449,0.002788006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02862035,0.0001286483,0.9669378,0.00004813623,0.0003810879,0.0007987956,0.00002745318,0.0001933021,0.00286445],"genre_scores_gemma":[0.6318427,0.0000116946,0.3675129,0.0002151532,0.00006519721,0.0002125661,0.00006745414,0.000008715869,0.00006357713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6032224,"threshold_uncertainty_score":0.7755284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928595445713802,"score_gpt":0.258074460615428,"score_spread":0.23878850615829,"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."}}