{"id":"W4402932676","doi":"10.1016/j.hrthm.2024.09.056","title":"Electrotomographic mapping with principal component referenced unipoles and perpendicular bipoles","year":2024,"lang":"en","type":"article","venue":"Heart Rhythm","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Component (thermodynamics); Principal component analysis; Perpendicular; Artificial intelligence; Physics; Computer science; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006192549,0.0006238507,0.0001938465,0.001106415,0.0002478252,0.0009993112,0.000299702,0.0006221698,0.002712443],"category_scores_gemma":[0.00296163,0.0002384928,0.0001913122,0.0009094722,0.0004116246,0.001059414,0.0005492967,0.000561061,0.0003285203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009299842,"about_ca_system_score_gemma":0.0002263789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005399341,"about_ca_topic_score_gemma":0.0006184354,"domain_scores_codex":[0.9997854,0.00007281101,0.00002248096,0.0000464052,0.00004928293,0.00002362482],"domain_scores_gemma":[0.9995582,0.0001919849,0.00004690619,0.00007026213,0.00009321775,0.00003950289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003070206,0.0001712265,0.01034787,0.0008320663,0.0001558576,0.001972726,0.0006391985,0.004984125,0.4674363,0.01033931,0.003659041,0.4963921],"study_design_scores_gemma":[0.0006588906,0.00247066,0.1573554,0.0007486643,0.0006880332,0.04829167,0.001022751,0.1656044,0.5399923,0.04212569,0.04073481,0.0003067652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2752539,0.001599138,0.7092621,0.0004609707,0.0002886605,0.0003915522,0.0008700098,0.001097455,0.01077621],"genre_scores_gemma":[0.7138227,0.001450993,0.2800089,0.0002466792,0.0002203829,0.0002682207,0.0002457727,0.0004870331,0.003249274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002712443,"threshold_uncertainty_score":0.009073973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590053216683091,"score_gpt":0.2648778506844441,"score_spread":0.2489773185176132,"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."}}