{"id":"W2395506964","doi":"","title":"BIT at TAC 2013 Slot Filler Validation Track.","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bit (key); Filler (materials); Track (disk drive); Computer science; Composite material; Materials science; Operating system; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008510639,0.001805526,0.002194505,0.002276947,0.002765814,0.006651896,0.004480342,0.00371527,0.2218644],"category_scores_gemma":[0.02043156,0.0008924638,0.001263906,0.001803263,0.001137894,0.008961089,0.004397104,0.003610191,0.1934253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726897,"about_ca_system_score_gemma":0.00315613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061743,"about_ca_topic_score_gemma":0.01584512,"domain_scores_codex":[0.9955567,0.00094156,0.0001573545,0.0005764238,0.002237655,0.0005303351],"domain_scores_gemma":[0.9869717,0.002680474,0.0003347388,0.003416591,0.005503775,0.001092821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004067004,0.0001041292,0.0003922645,0.0001226275,0.0000267769,0.00005792112,0.00004487752,0.0005349788,0.001413973,0.00481228,0.9621533,0.0299303],"study_design_scores_gemma":[0.000330464,0.0002256477,0.001024111,0.0001421688,0.0000444258,0.0001628795,0.0001459923,0.020057,0.007927671,0.02189056,0.9479793,0.00006975116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01475092,0.003703583,0.1986551,0.01664701,0.02114184,0.001303662,0.1789757,0.1241429,0.4406793],"genre_scores_gemma":[0.07592975,0.0009918204,0.1041961,0.005973891,0.00260809,0.001029221,0.470123,0.02382621,0.315322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2218644,"threshold_uncertainty_score":0.7422104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250578181818098,"score_gpt":0.2810465980889004,"score_spread":0.2685408162707195,"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."}}