{"id":"W3157860598","doi":"10.1109/tmi.2021.3077047","title":"AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design","year":2021,"lang":"en","type":"review","venue":"IEEE Transactions on Medical Imaging","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Hospital","funders":"Austrian Science Fund; Steirische Wirtschaftsförderungsgesellschaft; Academy of Medical Sciences; National Institute for Health and Care Research","keywords":"Computer science; Medical physics; Data science; Risk analysis (engineering); Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002153644,0.0006153896,0.001072978,0.0001240529,0.0003095018,0.00006556725,0.0003494564,0.0004699963,0.0005249889],"category_scores_gemma":[0.00003483415,0.000511391,0.0007070617,0.0001726058,0.0001084176,0.000005179053,0.000007149458,0.0006057009,0.0001658632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008621284,"about_ca_system_score_gemma":0.0005187499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003885457,"about_ca_topic_score_gemma":0.00005048593,"domain_scores_codex":[0.9972888,0.0002511976,0.0005942855,0.0008248583,0.0005360144,0.000504818],"domain_scores_gemma":[0.9988276,0.0001356968,0.0001466605,0.0005235332,0.00004037014,0.0003261628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001702338,0.000732931,1.459001e-7,0.001004497,0.0004387075,0.000639529,0.00003012926,0.00002613542,0.000008859499,0.000003741464,0.002539298,0.994559],"study_design_scores_gemma":[0.00135864,0.0003921376,9.123959e-7,0.008635532,0.001083351,0.001307275,0.00004001836,0.0008607091,0.0001009207,0.00001269158,0.9853477,0.0008601163],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001756717,0.8472971,0.1492728,0.0003718096,0.001695521,0.0007611407,0.0002670554,0.00007942083,0.000237651],"genre_scores_gemma":[0.001330718,0.997088,0.0002272704,0.0002807877,0.0002548613,0.0002547845,0.0002633141,0.0001018409,0.0001984051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9936989,"threshold_uncertainty_score":0.9997337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588244047947787,"score_gpt":0.3155299984407199,"score_spread":0.289647557961242,"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."}}