{"id":"W3111738653","doi":"10.1007/978-3-030-64327-0_8","title":"Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Artificial intelligence; Subtraction; Cosmesis; Hausdorff distance; Set (abstract data type); Pattern recognition (psychology); Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001158575,0.0009684995,0.001464475,0.0008553499,0.0007320187,0.002171659,0.002727542,0.001729834,0.01049681],"category_scores_gemma":[0.001810011,0.000875295,0.001919396,0.001386195,0.001001141,0.002052557,0.002886029,0.002316946,0.002746038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007634654,"about_ca_system_score_gemma":0.001025858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002839523,"about_ca_topic_score_gemma":0.00329865,"domain_scores_codex":[0.9993019,0.0001350626,0.00003184647,0.0001389056,0.0003292993,0.00006302559],"domain_scores_gemma":[0.9993168,0.0003365386,0.00003478183,0.0001406251,0.0001218008,0.00004945193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001661049,0.0001155702,0.000413524,0.0004691533,0.00006271069,0.0002580413,0.0002067012,0.178662,0.008915477,0.1695649,0.02467784,0.616488],"study_design_scores_gemma":[0.0000156006,0.00008816378,0.0001871143,0.00006557239,0.00001510642,0.0002977526,0.0000907876,0.8216321,0.003940252,0.135801,0.03783839,0.00002816014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003694816,0.0009050131,0.985636,0.0003001357,0.0001208642,0.00004682835,0.0001359182,0.0006386838,0.008521776],"genre_scores_gemma":[0.07487122,0.00209472,0.8961263,0.0002405795,0.0002347476,0.0001141504,0.0006221561,0.0008229023,0.0248732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01049681,"threshold_uncertainty_score":0.0351153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345803707356378,"score_gpt":0.2529961249120712,"score_spread":0.2195380878385074,"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."}}