{"id":"W4394099278","doi":"10.6084/m9.figshare.12262748","title":"Additional file 3 of T1 mapping performance and measurement repeatability: results from the multi-national T1 mapping standardization phantom program (T1MES)","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Standardization; Repeatability; Imaging phantom; Computer science; Medical physics; Nuclear medicine; Medicine; Mathematics; Statistics; Operating system","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":[0.002469898,0.001829842,0.001451143,0.001885466,0.0007316045,0.001846616,0.002543873,0.002122549,0.5038326],"category_scores_gemma":[0.02229383,0.0007353184,0.001387725,0.002806333,0.0004202935,0.001407348,0.001397403,0.001256265,0.1104156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205513,"about_ca_system_score_gemma":0.001723794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009451938,"about_ca_topic_score_gemma":0.01599052,"domain_scores_codex":[0.9990282,0.0001781935,0.0001795481,0.000348469,0.0001635244,0.0001020866],"domain_scores_gemma":[0.9870132,0.008701305,0.001005518,0.001153255,0.00184483,0.0002819907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005089986,0.00007313246,0.003220356,0.003165923,0.0001129519,0.00005312281,0.00004007549,0.0005118092,0.000161139,0.0004719686,0.9858315,0.005849041],"study_design_scores_gemma":[0.005989381,0.0002067833,0.03078444,0.003994589,0.0004744174,0.0006659366,0.0002269202,0.001892283,0.001359826,0.01094067,0.9432938,0.0001708428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001081733,0.00002414939,0.0001641208,0.00003698003,0.000008860095,0.00002716241,0.9992594,0.0001599322,0.0002111657],"genre_scores_gemma":[0.002655966,0.00007483324,0.001635423,0.0002110822,0.00003745305,0.0008756439,0.992141,0.0004034874,0.001964993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5038326,"threshold_uncertainty_score":0.7077226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09678584792810495,"score_gpt":0.3218590189729927,"score_spread":0.2250731710448877,"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."}}