{"id":"W2808045946","doi":"10.1007/978-1-4939-1532-3_7","title":"Computer Planning for Craniofacial Surgery","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Surgical Specialties (Canada); Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Craniofacial; Rapid prototyping; Computer science; Variety (cybernetics); Craniofacial surgery; Surgical planning; Engineering drawing; Engineering; Biomedical engineering; Medicine; Surgery; Artificial intelligence; Mechanical engineering","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":[0.0001601373,0.001089279,0.0004014734,0.001002414,0.0004468215,0.001409985,0.0008417114,0.0007881352,0.05143664],"category_scores_gemma":[0.0005706833,0.0004760764,0.0003633182,0.00114232,0.0006748391,0.001386845,0.0008137166,0.001522981,0.01581428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006244822,"about_ca_system_score_gemma":0.001029321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002519818,"about_ca_topic_score_gemma":0.005916858,"domain_scores_codex":[0.9998356,0.00001921222,0.000004925931,0.00002146531,0.0001115559,0.000007194717],"domain_scores_gemma":[0.999869,0.00006551843,0.00000440741,0.00001859965,0.00003443086,0.000008073701],"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":[0.00001003697,0.00001719542,0.00005575579,0.0002777695,0.000006597285,0.00006605662,0.0001225064,0.008010892,0.001544453,0.1300738,0.2325408,0.6272741],"study_design_scores_gemma":[0.000002782324,0.000007396176,0.0001070992,0.0001692137,0.000005317839,0.0003065833,0.00002489505,0.004617937,0.0007597995,0.04325549,0.9507315,0.0000120321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001140376,0.04605992,0.2954188,0.001662021,0.003086829,0.00008401914,0.0004661622,0.001904156,0.6501778],"genre_scores_gemma":[0.01484613,0.04917196,0.1440616,0.0005952363,0.001304485,0.000146042,0.0009871803,0.001130791,0.7877567],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05143664,"threshold_uncertainty_score":0.1720727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462069185428062,"score_gpt":0.2270843026883677,"score_spread":0.2024636108340871,"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."}}