{"id":"W2793823017","doi":"10.1002/advs.201700560","title":"Enabling Angioplasty‐Ready “Smart” Stents to Detect In‐Stent Restenosis and Occlusion","year":2018,"lang":"en","type":"article","venue":"Advanced Science","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"Canada Foundation for Innovation; British Columbia Knowledge Development Fund; CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institutes of Health Research","keywords":"Restenosis; Angioplasty; Stent; Occlusion; Medicine; Balloon; Radiology; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002679285,0.00008669694,0.000125032,0.0002729365,0.0001913526,0.000028257,0.0001108651,0.00002293975,0.00002843367],"category_scores_gemma":[0.0006334268,0.00007435809,0.00002560683,0.0007418111,0.0002254428,0.0002293776,0.0001989788,0.00006677336,0.00004817504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009234348,"about_ca_system_score_gemma":0.00005669375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004904715,"about_ca_topic_score_gemma":0.0002387063,"domain_scores_codex":[0.9988878,0.00001022324,0.0001837059,0.0003473941,0.0002778119,0.0002930865],"domain_scores_gemma":[0.9992626,0.00007433021,0.00003534609,0.0002431534,0.0001792079,0.0002054207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004663123,0.0002860784,0.2452635,0.00006749569,0.000009212645,0.0002040386,0.001209418,0.0001677511,0.3798479,0.0003311148,0.0001822665,0.371965],"study_design_scores_gemma":[0.001727329,0.003065643,0.9524261,0.0009039384,0.0000266346,0.0001370393,0.0006858236,0.001191363,0.03307942,0.00027764,0.006235204,0.0002438619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972131,0.0001703639,0.000845996,0.0003668402,0.000272209,0.0002689041,0.000003575279,0.00002554556,0.0008334212],"genre_scores_gemma":[0.9922974,0.00006996618,0.006900491,0.0004152436,0.00003841774,0.00001085351,0.00000125176,0.00000650874,0.0002598642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7071626,"threshold_uncertainty_score":0.3032235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269332809592365,"score_gpt":0.3239303619320129,"score_spread":0.3012370338360892,"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."}}