{"id":"W6902003991","doi":"10.6084/m9.figshare.18094477.v1","title":"Additional file 1 of Efficient non-contrast enhanced 3D Cartesian cardiovascular magnetic resonance angiography of the thoracic aorta in 3 min","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Strong Light-Matter Interactions","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Magnetic resonance imaging; Cohort; Thoracic aorta; Magnetic resonance angiography; Angiography; Aorta","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001092721,0.00105543,0.00129404,0.001329996,0.0006071167,0.001558751,0.001252534,0.001097524,0.7852614],"category_scores_gemma":[0.02278881,0.0005260181,0.000689283,0.001939588,0.0002185526,0.001252466,0.0008687608,0.0008645126,0.1389514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854397,"about_ca_system_score_gemma":0.001021483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016472,"about_ca_topic_score_gemma":0.004636949,"domain_scores_codex":[0.9994783,0.00009929246,0.00009419451,0.0001760719,0.0000853794,0.000066681],"domain_scores_gemma":[0.9900877,0.006969382,0.0007509244,0.0008490736,0.001031982,0.0003109303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001165696,0.0001245494,0.005059866,0.001667485,0.00007975201,0.0001786508,0.00005336796,0.0005969488,0.0001402021,0.00069563,0.970827,0.01941079],"study_design_scores_gemma":[0.01054428,0.0008448836,0.07159165,0.004821169,0.0004330336,0.00335621,0.0004931052,0.004995064,0.001773375,0.02330641,0.8775415,0.0002992233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004975049,0.00006394737,0.0007049314,0.0001491219,0.00003281529,0.0001361162,0.9965827,0.0003931448,0.001439729],"genre_scores_gemma":[0.0283243,0.0004329258,0.006037932,0.001165615,0.0004374785,0.003731228,0.9452152,0.001506936,0.01314843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7852614,"threshold_uncertainty_score":0.3062986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006838056178893467,"score_gpt":0.2099294536976312,"score_spread":0.2030913975187378,"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."}}