{"id":"W2995810409","doi":"10.29007/tpbf","title":"Depth Camera Augmented Fluoroscopy with Video Overlay","year":2019,"lang":"en","type":"article","venue":"EPiC series in health sciences","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overlay; Fluoroscopy; Computer vision; Computer science; Artificial intelligence; Video camera; Computer graphics (images); Medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000631382,0.00008799486,0.0002344611,0.0001022183,0.0001213046,0.00002286896,0.00007887732,0.0000297055,0.00102298],"category_scores_gemma":[0.00007450512,0.00005888943,0.00001986315,0.0006329145,0.0002327555,0.0001933038,0.00001722242,0.0001198918,0.00004276844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006643997,"about_ca_system_score_gemma":0.0003298159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003472798,"about_ca_topic_score_gemma":0.0001711608,"domain_scores_codex":[0.9987226,0.00005091172,0.0002627392,0.0002708682,0.0003634743,0.0003294154],"domain_scores_gemma":[0.9994498,0.0001632242,0.00008254772,0.0001336014,0.00002565861,0.0001451786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003018774,0.0000521706,0.981653,0.0001038375,0.00000721377,0.00001353493,0.001134778,0.0006690711,0.00002927183,0.003053798,0.00007456319,0.01290682],"study_design_scores_gemma":[0.004675636,0.003210282,0.9153522,0.000653927,0.000005279346,0.0000565721,0.003993753,0.004348255,0.0004277519,0.0003314417,0.06671773,0.0002271357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616933,0.0003039318,0.00002892985,0.005031916,0.0003203581,0.0003761549,8.016866e-7,0.0000580382,0.03218655],"genre_scores_gemma":[0.9933124,0.00005108935,0.00233789,0.003422669,0.0000381206,0.000009175364,0.000003165326,0.000005490236,0.0008199632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06664317,"threshold_uncertainty_score":0.9998902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242647111111842,"score_gpt":0.3528805341244737,"score_spread":0.3204540630133553,"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."}}