{"id":"W2994860799","doi":"10.4244/eijv15i12a193","title":"Predicting TMVR outcomes – the Tendyne experience","year":2019,"lang":"en","type":"article","venue":"EuroIntervention","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine","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":[0.003270466,0.000531743,0.0007315414,0.0007653948,0.0004909028,0.001714834,0.0004573881,0.0009204745,0.002752188],"category_scores_gemma":[0.01082496,0.0002423437,0.0007005495,0.0006963518,0.0003770959,0.001488426,0.001174559,0.0009400586,0.0005813941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572285,"about_ca_system_score_gemma":0.0005557156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748616,"about_ca_topic_score_gemma":0.003828399,"domain_scores_codex":[0.9990296,0.0003330794,0.0001077332,0.0002439553,0.0001863534,0.00009920739],"domain_scores_gemma":[0.9958188,0.001901409,0.000897305,0.0004055412,0.0003749111,0.0006021007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008121358,0.0001104067,0.9802738,0.00003925462,0.0001932319,0.0002159048,0.0002351449,0.0003967964,0.0002846868,0.0002675967,0.001366003,0.01580507],"study_design_scores_gemma":[0.0001492625,0.000820092,0.9849791,0.0002080397,0.0003655179,0.002135674,0.0007980559,0.00377807,0.0003328895,0.0009292576,0.005445905,0.00005818302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936774,0.0007738397,0.0005253866,0.0004761365,0.0000764744,0.00002365043,0.0007046203,0.000007994016,0.003734415],"genre_scores_gemma":[0.9946421,0.0008650739,0.001239987,0.0002349093,0.0002779862,0.0000464213,0.001669414,0.00003874519,0.0009853934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003270466,"threshold_uncertainty_score":0.01729608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790431926091489,"score_gpt":0.3613782567990524,"score_spread":0.3434739375381375,"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."}}