{"id":"W3158568664","doi":"10.1371/journal.pone.0250558","title":"An integrated augmented reality surgical navigation platform using multi-modality imaging for guidance","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Princess Margaret Hospital Foundation; University Health Network","keywords":"Imaging phantom; Augmented reality; Visualization; Computer science; Navigation system; Computer vision; Artificial intelligence; Projector; Modality (human–computer interaction); Virtual reality; Overlay; Image-guided surgery; Computer graphics (images); Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005282434,0.0006209512,0.0003918992,0.0004871907,0.0001486185,0.0008670874,0.0009119987,0.0008157592,0.00376931],"category_scores_gemma":[0.0009315658,0.0004565515,0.0005612732,0.0002766164,0.0002414143,0.0005694504,0.00103203,0.000616555,0.001069812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031698,"about_ca_system_score_gemma":0.0006996238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004538058,"about_ca_topic_score_gemma":0.0007147613,"domain_scores_codex":[0.999491,0.00007271762,0.00002969908,0.00008468342,0.0002915679,0.00003039856],"domain_scores_gemma":[0.9995624,0.00009856105,0.00007608186,0.0001026967,0.0001202725,0.00003988801],"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":[0.0007581649,0.0002156577,0.001688861,0.0005273912,0.0001307621,0.0008093858,0.0003750886,0.009674211,0.7480904,0.00290048,0.003921068,0.2309085],"study_design_scores_gemma":[0.0003807516,0.006570428,0.02187113,0.0002268855,0.0006088817,0.01875156,0.0001682702,0.1946446,0.6282799,0.001954465,0.1259908,0.000552327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08436553,0.001251498,0.9040167,0.0001971942,0.0002050896,0.0003761032,0.0005461316,0.00509589,0.003945759],"genre_scores_gemma":[0.3411137,0.0008146961,0.6496214,0.0002489576,0.0000675802,0.0004049752,0.000806027,0.0002554654,0.006667297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00376931,"threshold_uncertainty_score":0.0126096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306300558460502,"score_gpt":0.3404762789150478,"score_spread":0.2098462230689976,"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."}}