{"id":"W3055184672","doi":"10.1002/lary.29009","title":"Predicting the Premorbid Shape of a Diseased Mandible","year":2020,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stornoway Diamond (Canada); University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Mandible (arthropod mouthpart); Preprocessor; Condyle; Hausdorff distance; Surgical planning; Segmentation; Orthodontics; Artificial intelligence; Computer science; Mathematics; Medicine; Radiology; Biology; Genus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000183544,0.000108631,0.0001434438,0.0000220172,0.0001865704,0.00006196924,0.0005282992,0.00002388341,0.0005371842],"category_scores_gemma":[0.00007831564,0.00006086969,0.0001492119,0.0004104674,0.0001422527,0.0001427904,0.0001536552,0.0001902909,0.0001576111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006047928,"about_ca_system_score_gemma":0.00001878383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008184528,"about_ca_topic_score_gemma":0.000008238366,"domain_scores_codex":[0.9990603,0.00009909084,0.0002046553,0.0001695283,0.0002662541,0.0002001735],"domain_scores_gemma":[0.9993882,0.0001099133,0.0001033612,0.0003005272,0.00002238231,0.00007559918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007585349,0.0002671499,0.8824567,0.0005929816,0.0006314578,0.000255665,0.008132569,0.0001171525,0.04801352,0.001926705,0.0466572,0.01019033],"study_design_scores_gemma":[0.001618463,0.0001652165,0.9345476,0.0001985045,0.0003893006,0.00007483586,0.001976178,0.03144323,0.01670668,0.0006744701,0.01187288,0.000332643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823601,0.001311638,0.00011389,0.001855195,0.0002293507,0.0002926479,0.00004566586,0.0000911732,0.01370032],"genre_scores_gemma":[0.9980382,0.00002673264,0.00004638407,0.001411508,0.000204323,0.00001272747,0.00000719714,0.00001864559,0.0002343104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05209087,"threshold_uncertainty_score":0.5881791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024046639663001,"score_gpt":0.2547225071116642,"score_spread":0.2344820407150342,"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."}}