{"id":"W2931511452","doi":"10.7759/cureus.4373","title":"Development of a Three-dimensional Printed Emergent Burr Hole and Craniotomy Simulator","year":2019,"lang":"en","type":"article","venue":"Cureus","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Medicine; Craniotomy; Simulation; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001581944,0.0007832421,0.0003089949,0.0007740393,0.0002758248,0.0008404728,0.001576244,0.0006792766,0.005290802],"category_scores_gemma":[0.003219784,0.0005760895,0.0009655802,0.0002399686,0.0003783321,0.000550557,0.001624955,0.0006460943,0.001114678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014222,"about_ca_system_score_gemma":0.001245677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288894,"about_ca_topic_score_gemma":0.001571229,"domain_scores_codex":[0.9990073,0.0001798537,0.00009452421,0.00007408742,0.0005807675,0.00006340574],"domain_scores_gemma":[0.9985098,0.0005202932,0.00009002924,0.0001743035,0.0005021959,0.0002033241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007041796,0.001651495,0.01712118,0.001435598,0.00016511,0.002489347,0.002443527,0.1665328,0.4520893,0.00377861,0.008445314,0.3431435],"study_design_scores_gemma":[0.0004579536,0.01155,0.02632898,0.0004360478,0.0003520869,0.004996569,0.001558591,0.5682417,0.2746421,0.002130557,0.1086568,0.0006486921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.313714,0.0002727389,0.6661261,0.0003906402,0.0003922881,0.002906001,0.001002859,0.003500543,0.01169481],"genre_scores_gemma":[0.3464061,0.0004154988,0.6428806,0.0001263927,0.00003111549,0.0009324367,0.00130459,0.0003157213,0.007587586],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005290802,"threshold_uncertainty_score":0.01769954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488047343872921,"score_gpt":0.2965118364350333,"score_spread":0.2616313629963041,"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."}}