{"id":"W1985748051","doi":"10.1111/j.1540-8159.2006.00459.x","title":"Successful Laser‐Assisted Removal of an Infected ICD Lead with a Large Vegetation","year":2006,"lang":"en","type":"article","venue":"Pacing and Clinical Electrophysiology","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Vegetation (pathology); Lead (geology); Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002044178,0.0001308127,0.0006787155,0.00007293342,0.00008870653,0.000006932907,0.00001112765,0.0001268793,0.000002244005],"category_scores_gemma":[0.0001827057,0.0000959954,0.0001112977,0.000220483,0.0001811067,0.00004356677,0.00001692176,0.0001902816,0.000004431312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349591,"about_ca_system_score_gemma":0.00005949644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001530696,"about_ca_topic_score_gemma":0.0001212569,"domain_scores_codex":[0.998744,0.0001776313,0.0004148667,0.0003010581,0.0001203675,0.0002421006],"domain_scores_gemma":[0.9990662,0.0003248871,0.0001766807,0.0001841221,0.0001830376,0.00006504245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01054105,0.002099012,0.5107613,0.0005758592,0.001508378,0.0002801903,0.000354822,0.0003754736,0.4336456,0.00238411,0.0005065206,0.03696769],"study_design_scores_gemma":[0.003653243,0.004035235,0.9859834,0.00008587797,0.0003097875,0.0007512706,0.00008120893,0.0006530404,0.003236522,0.0003736645,0.0006622072,0.0001744886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925655,0.0003125024,0.0004141589,0.00006698813,0.00005005268,0.0001137645,0.00000351115,0.00007883729,0.006394684],"genre_scores_gemma":[0.9985909,0.00007533422,0.0007948631,0.0001183796,0.0002429695,0.000003749876,0.00005464287,0.00001406589,0.0001050631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752222,"threshold_uncertainty_score":0.3914579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398194533767453,"score_gpt":0.3221064975995167,"score_spread":0.3081245522618421,"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."}}