{"id":"W2145845079","doi":"10.1161/01.res.0000144806.19585.5b","title":"Toll Gates and Traffic Arteries","year":2004,"lang":"en","type":"letter","venue":"Circulation Research","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Toll; Cardiology; Medicine; Computer science; Business; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000302965,0.0005761695,0.0003582472,0.0002530541,0.0007223685,0.001697042,0.0004458551,0.00515198,0.03593863],"category_scores_gemma":[0.001204905,0.0001827414,0.0003677485,0.0001393419,0.001032686,0.001514211,0.0009322242,0.006637861,0.01347159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006525177,"about_ca_system_score_gemma":0.0004003555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002467115,"about_ca_topic_score_gemma":0.0004909367,"domain_scores_codex":[0.9997651,0.00007164894,0.00001269513,0.0000347313,0.00005760043,0.00005820737],"domain_scores_gemma":[0.9996455,0.0001646763,0.00003873246,0.00002956499,0.00004335423,0.00007822486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000602492,0.00006857795,0.0009573436,0.0005210614,0.00005009605,0.00371998,0.0002316652,0.0001894699,0.007066246,0.09824152,0.7709287,0.1174228],"study_design_scores_gemma":[0.00005949017,0.00005278123,0.0004650452,0.0001223833,0.00000982554,0.002445712,0.00009772978,0.0001490838,0.0009515188,0.01309148,0.9825444,0.00001057535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007391271,0.0557224,0.002333938,0.7788724,0.05275198,0.00007133326,0.0003360625,0.0002966304,0.1022239],"genre_scores_gemma":[0.1509301,0.05951034,0.002960589,0.445288,0.09299675,0.0002109008,0.0003961789,0.0001060605,0.2476011],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03593863,"threshold_uncertainty_score":0.1202267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237465875059292,"score_gpt":0.3037525539961691,"score_spread":0.2413778952455762,"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."}}