{"id":"W2795639317","doi":"10.1101/275453","title":"BIC Defacing Algorithm","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Computer science; Voxel; Segmentation; Rendering (computer graphics); Artificial intelligence; Scanner; Algorithm; Source code; Pattern recognition (psychology); Data mining; Computer vision","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":[0.00193627,0.001578285,0.00189696,0.00312878,0.001274639,0.003093609,0.002543866,0.002102147,0.05209635],"category_scores_gemma":[0.01007227,0.0007108614,0.00125913,0.002445883,0.0007457543,0.001383946,0.003163513,0.002376303,0.02940877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007484618,"about_ca_system_score_gemma":0.002058526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007200122,"about_ca_topic_score_gemma":0.006978934,"domain_scores_codex":[0.9977685,0.0003757793,0.0001879218,0.0004901203,0.0009229411,0.0002546258],"domain_scores_gemma":[0.9968264,0.0006311364,0.0001144213,0.0007297274,0.001595948,0.0001023668],"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":[0.0006532632,0.00009434216,0.001448887,0.0002949049,0.0001072734,0.0002287477,0.0001693254,0.05232916,0.009587438,0.02766521,0.05869278,0.8487287],"study_design_scores_gemma":[0.0001507973,0.000173711,0.001934924,0.0001510398,0.0000548849,0.001045934,0.0002514167,0.8239028,0.02243712,0.04823339,0.1015719,0.00009191404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004294271,0.0003854223,0.9808097,0.0002225477,0.0002236473,0.0001828436,0.0009064723,0.005146905,0.007828052],"genre_scores_gemma":[0.07025912,0.0003323612,0.9010178,0.0004476631,0.0001971274,0.0004468056,0.006971123,0.00277773,0.01755031],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05209635,"threshold_uncertainty_score":0.1742796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977803931856598,"score_gpt":0.2696844763709917,"score_spread":0.2499064370524257,"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."}}