{"id":"W1865490208","doi":"10.1161/atvbaha.115.306414","title":"Road Repairs","year":2015,"lang":"en","type":"letter","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; British Heart Foundation; Wellcome Trust","keywords":"Business; Transport engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001840868,0.0007969767,0.0006986567,0.0007766007,0.007428492,0.004308608,0.00155949,0.02329401,0.05688497],"category_scores_gemma":[0.0117049,0.0004066275,0.001374364,0.0003071794,0.002994554,0.003755738,0.003965301,0.01771695,0.02416481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442522,"about_ca_system_score_gemma":0.005642088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008966867,"about_ca_topic_score_gemma":0.03166234,"domain_scores_codex":[0.9972252,0.0003898924,0.0001558198,0.0003866287,0.00116012,0.0006823302],"domain_scores_gemma":[0.9974998,0.0005308174,0.0001283843,0.0003203135,0.0007661472,0.000754562],"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":[0.00002268347,0.00004036731,0.0004463358,0.00004632387,0.00001067535,0.001522139,0.0002072043,0.00008478924,0.0002054256,0.02356572,0.9464547,0.02739365],"study_design_scores_gemma":[0.000008212211,0.00002132752,0.0002400928,0.00008121231,0.000005225038,0.0008354623,0.000308797,0.00005774291,0.00006258532,0.006578204,0.9917923,0.000008789737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002262757,0.005410244,0.001984255,0.6526287,0.08526017,0.00005685481,0.0001596197,0.0003319778,0.2519054],"genre_scores_gemma":[0.03172629,0.003656021,0.001055748,0.5218176,0.03210934,0.00009273748,0.0002016604,0.0001486776,0.4091919],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05688497,"threshold_uncertainty_score":0.1902992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275213259719859,"score_gpt":0.2486516904021766,"score_spread":0.215899557804978,"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."}}