{"id":"W2132101932","doi":"10.1002/rcs.388","title":"Optimal transseptal puncture location for robot‐assisted left atrial catheter ablation","year":2011,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Catheter ablation; Catheter; Atrial fibrillation; Left atrium; Kinematics; Ablation; Computer science; Surgery; Cardiology; Physics","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":[0.0004676219,0.0004772621,0.0003832989,0.0004395684,0.0002527117,0.0004809099,0.0003890119,0.0004947041,0.0008878752],"category_scores_gemma":[0.001293496,0.0002710874,0.000382853,0.0002165564,0.0003468387,0.0004342218,0.0003831217,0.0003239892,0.0001589068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006468978,"about_ca_system_score_gemma":0.0008769956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00249438,"about_ca_topic_score_gemma":0.002139136,"domain_scores_codex":[0.99978,0.00006552997,0.00001027559,0.00003482777,0.00008789995,0.00002139179],"domain_scores_gemma":[0.9995008,0.0002451159,0.0001098107,0.00002640308,0.00009314228,0.00002468992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007361763,0.00007881007,0.001974394,0.00006936186,0.00002493243,0.00007206538,0.00006425338,0.9499623,0.01187924,0.001327781,0.0002555166,0.03421769],"study_design_scores_gemma":[0.00001282179,0.00007381089,0.0004733559,0.000006210769,0.000007815469,0.00003960674,0.00001174647,0.9958141,0.002910599,0.0003858179,0.0002556861,0.000008412087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1558961,0.0002326518,0.8409016,0.0001027552,0.00001583834,0.00007292825,0.00003442279,0.0003886331,0.002355179],"genre_scores_gemma":[0.7904974,0.00008258285,0.2086867,0.0000238974,0.00000620474,0.00009746482,0.00005104359,0.00005599897,0.0004988174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00249438,"threshold_uncertainty_score":0.004959762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280226223371058,"score_gpt":0.2571878614873204,"score_spread":0.2243855992536098,"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."}}