{"id":"W3209063626","doi":"10.3389/fonc.2021.723509","title":"Augmented Reality and Intraoperative Navigation in Sinonasal Malignancies: A Preclinical Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Augmented reality; Medicine; Surgery; Medical physics; Computer science; Artificial intelligence","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":[0.0006340716,0.001011263,0.0005351806,0.0005292461,0.0001959478,0.0005635493,0.0006637322,0.0004451439,0.001606253],"category_scores_gemma":[0.0009457867,0.0002787532,0.0007064217,0.0002470507,0.0006140445,0.0007109295,0.0005418659,0.0007382199,0.000285448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345101,"about_ca_system_score_gemma":0.0004594671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008678247,"about_ca_topic_score_gemma":0.000976944,"domain_scores_codex":[0.9993864,0.0001694256,0.00003160981,0.00007431101,0.0002390219,0.00009929347],"domain_scores_gemma":[0.9993179,0.0002074372,0.0001758891,0.0001122194,0.00009269842,0.00009400272],"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":[0.003263659,0.006572238,0.006363562,0.000588251,0.0001471155,0.0007458953,0.0003880056,0.006257784,0.9084328,0.0004258573,0.0003984698,0.06641645],"study_design_scores_gemma":[0.0003876788,0.1412231,0.03118813,0.0001175425,0.0007304349,0.006173437,0.0006833218,0.02673974,0.782345,0.0003746473,0.009922547,0.0001143915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863513,0.001736472,0.01047842,0.00006719944,0.00005348076,0.00009575062,0.00008604355,0.0001114261,0.001019853],"genre_scores_gemma":[0.9875084,0.001987868,0.009112912,0.00004518728,0.00004276133,0.00009948263,0.0002132993,0.00002276284,0.0009673355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001606253,"threshold_uncertainty_score":0.005373478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574792784626465,"score_gpt":0.3594466866074239,"score_spread":0.3236987587611593,"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."}}