{"id":"W2121587139","doi":"","title":"York University at TREC 2009: Relevance Feedback Track","year":2009,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Relevance feedback; Relevance (law); Computer science; Weighting; Task (project management); Track (disk drive); Domain (mathematical analysis); Information retrieval; Series (stratigraphy); Artificial intelligence; Mathematics; Engineering; Image retrieval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003645467,0.0002359631,0.0002610778,0.0001543747,0.0003659309,0.0002221213,0.001454242,0.0001531299,0.000438339],"category_scores_gemma":[0.0001272535,0.0002272232,0.000119453,0.001138984,0.0001227053,0.001102475,0.0002087115,0.0003500649,0.001500879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622612,"about_ca_system_score_gemma":0.0002965573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002246,"about_ca_topic_score_gemma":0.000009981302,"domain_scores_codex":[0.9978891,0.00009830341,0.0003120005,0.0004669753,0.0006828408,0.000550768],"domain_scores_gemma":[0.9983705,0.0001206508,0.0001637355,0.000708518,0.0003382688,0.0002983088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001402385,0.0005125119,0.001347448,0.00006764413,0.00004213284,0.0003204768,0.00705452,0.00007450154,0.02303275,0.4402848,0.02543207,0.5004287],"study_design_scores_gemma":[0.006594076,0.003220695,0.2226959,0.00029251,0.00008119406,0.0002855656,0.0006660166,0.06114883,0.09923125,0.009851556,0.5924993,0.003433095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222897,0.0003700492,0.1459977,0.00651852,0.0008379177,0.001001005,0.00007858378,0.001433696,0.1214729],"genre_scores_gemma":[0.9717585,0.0001129442,0.003817918,0.0005121716,0.00004187401,3.331509e-7,0.00001094529,0.000005638175,0.02373964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5670673,"threshold_uncertainty_score":0.9992766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342038611951475,"score_gpt":0.2467342868726649,"score_spread":0.2133139007531501,"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."}}