{"id":"W2791064188","doi":"10.1002/rcs.1900","title":"Towards robot‐assisted anchor deployment in beating‐heart mitral valve surgery","year":2018,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation","keywords":"Intracardiac injection; Teleoperation; Software deployment; Computer science; Cardiopulmonary bypass; Haptic technology; Simulation; Mitral valve; Robotic surgery; Da Vinci Surgical System; Robot; Medicine; Surgery; Cardiology; Artificial intelligence","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":[0.00103631,0.0001967571,0.0004925228,0.0004350207,0.00004900007,0.0001406725,0.0003470168,0.0001712178,0.00006823846],"category_scores_gemma":[0.0002130909,0.0001795622,0.0004577374,0.000252958,0.0001211026,0.000125644,0.00009991508,0.0004049458,0.000006714342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220562,"about_ca_system_score_gemma":0.0002177403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002350407,"about_ca_topic_score_gemma":0.00002354932,"domain_scores_codex":[0.9972749,0.0000643911,0.001033606,0.0001813172,0.001154359,0.0002914193],"domain_scores_gemma":[0.9980761,0.0008997767,0.0001875467,0.0001342973,0.000368047,0.0003342438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001044215,0.001085185,0.1743128,0.0001244316,0.002273333,0.00079958,0.0004096885,0.03475503,0.0003260902,0.001637213,0.06939323,0.714779],"study_design_scores_gemma":[0.000735983,0.00006689347,0.7841895,0.001086343,0.00007807567,0.001154541,0.00003707119,0.2056306,0.0001725779,0.000449403,0.00596683,0.000432198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4238844,0.001497453,0.5520523,0.01154638,0.01048203,0.000155786,0.00001290649,0.0001373477,0.0002314587],"genre_scores_gemma":[0.9815462,0.0003859311,0.01545314,0.0006518621,0.001907504,0.000004898602,0.00001277559,0.00003156417,0.000006167787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7143468,"threshold_uncertainty_score":0.7322335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916108980773331,"score_gpt":0.2824718897883929,"score_spread":0.2533107999806596,"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."}}