{"id":"W2984736137","doi":"","title":"Automated Segmentation of Temporal Bone Structures","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Facial Nerve Paralysis Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Segmentation; Computer science; Artificial intelligence; Computer vision","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042058,0.000494308,0.0002802799,0.001023861,0.0004143367,0.0009985194,0.0004275921,0.0008063879,0.001975923],"category_scores_gemma":[0.00129355,0.0004332813,0.0005380136,0.0005264207,0.000365564,0.0005315996,0.0004814675,0.0004094523,0.0007273586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068307,"about_ca_system_score_gemma":0.001521204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00654414,"about_ca_topic_score_gemma":0.01492697,"domain_scores_codex":[0.9996929,0.00003815561,0.00001923564,0.00007966103,0.0001290803,0.00004106856],"domain_scores_gemma":[0.9996507,0.0001336211,0.00004888121,0.00005590807,0.0000985392,0.00001234344],"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":[0.0003233435,0.00007518108,0.005562107,0.0003395684,0.0001072816,0.0007862585,0.0005815217,0.1222149,0.3633319,0.004964079,0.004809029,0.4969049],"study_design_scores_gemma":[0.00004261165,0.0001870374,0.02011468,0.0001200162,0.00009860365,0.002391115,0.000350908,0.7308083,0.2131141,0.006903321,0.02579309,0.00007638015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2243126,0.001385173,0.7610632,0.0003504217,0.0001115899,0.0002934867,0.000839734,0.003266013,0.008377708],"genre_scores_gemma":[0.5895702,0.0009119021,0.4004903,0.0001716024,0.00003727226,0.000127061,0.001162534,0.0005462075,0.006983033],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00654414,"threshold_uncertainty_score":0.01301211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07753078719860411,"score_gpt":0.3633246707627258,"score_spread":0.2857938835641217,"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."}}