{"id":"W4386418708","doi":"10.1016/j.cjca.2023.08.030","title":"Meta-CathLab: A Paradigm Shift in Interventional Cardiology Within the Metaverse","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Metaverse; Interventional cardiology; Data science; Paradigm shift; Engineering ethics; Cardiology; Human–computer interaction; Epistemology; Computer science; Virtual reality; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02421412,0.0008250299,0.0008735,0.002432266,0.002082383,0.01548027,0.004363466,0.006461298,0.01004969],"category_scores_gemma":[0.01506266,0.0006585851,0.001234002,0.001717064,0.005858555,0.03094848,0.01282249,0.00954798,0.004483749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010775,"about_ca_system_score_gemma":0.005787579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000734715,"about_ca_topic_score_gemma":0.0008471092,"domain_scores_codex":[0.9918706,0.003816946,0.0005724026,0.0010373,0.002091775,0.0006108761],"domain_scores_gemma":[0.9797288,0.007773441,0.0007845422,0.003620117,0.003139609,0.004953549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002549353,0.0001790783,0.001461492,0.000753102,0.00005347267,0.0004540957,0.002467596,0.001266611,0.002063338,0.7001636,0.04410776,0.2467749],"study_design_scores_gemma":[0.000054221,0.0002154574,0.0006053773,0.001666401,0.00003596602,0.001638549,0.001112736,0.005789923,0.001769227,0.24505,0.7419592,0.0001029644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01499427,0.08844528,0.4596913,0.2972103,0.01052392,0.0002064397,0.0004584944,0.006061854,0.1224081],"genre_scores_gemma":[0.2888157,0.07658003,0.4932664,0.07109627,0.03096231,0.0005845834,0.001637795,0.003833532,0.03322337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02421412,"threshold_uncertainty_score":0.128058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2692229881843403,"score_gpt":0.397402354299334,"score_spread":0.1281793661149937,"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."}}