{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008806019,0.0001155169,0.0003354876,0.0001108949,0.00006518855,0.00004134547,0.0003264981,0.0001488357,0.000004554286],"category_scores_gemma":[0.0002083451,0.0001219695,0.00002345098,0.0007134217,0.0001440364,0.0002277763,0.0003196126,0.0003221747,0.000003361209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004551266,"about_ca_system_score_gemma":0.0003980453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000158483,"about_ca_topic_score_gemma":0.001359428,"domain_scores_codex":[0.9977118,0.0007943732,0.0005008677,0.0005905273,0.0001558248,0.0002466102],"domain_scores_gemma":[0.9990942,0.0002174947,0.0001036712,0.0004135353,0.00009883898,0.00007222535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002244164,0.01055294,0.6491713,0.00006914565,0.0002046752,0.001307997,0.04341798,0.001456933,0.001446897,0.0365878,0.01537002,0.2401899],"study_design_scores_gemma":[0.009145348,0.001802005,0.7633385,0.0001404811,0.00004363324,0.000135104,0.01834631,0.151548,0.001427749,0.03768028,0.0156453,0.0007472893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5123371,0.0002718821,0.4769542,0.00768337,0.000637187,0.0009129479,0.000009408323,0.00006588592,0.001127995],"genre_scores_gemma":[0.9648913,0.00005852871,0.0342732,0.0003710928,0.00003132997,0.0002542194,0.0000250972,0.000006459798,0.00008878532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4525541,"threshold_uncertainty_score":0.4973772,"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."}}