{"id":"W4392349431","doi":"10.36557/2674-8169.2024v6n3p03-11","title":"AVANÇOS E DESAFIOS DAS APLICAÇÕES DA REALIDADE AUMENTADA NA CIRURGIA","year":2024,"lang":"pt","type":"article","venue":"Brazilian Journal of Implantology and Health Sciences","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004603701,0.0003442471,0.0007335767,0.0007027843,0.001456748,0.0008414573,0.001704803,0.0002214271,0.00009776893],"category_scores_gemma":[0.00005478627,0.0002768735,0.0001581532,0.001268963,0.001453857,0.001156268,0.0002917952,0.0008606346,0.00007398503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016668,"about_ca_system_score_gemma":0.002775278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002312598,"about_ca_topic_score_gemma":0.0002796269,"domain_scores_codex":[0.9955573,0.0004456093,0.001505892,0.0007991554,0.0006997911,0.0009922513],"domain_scores_gemma":[0.997178,0.000589339,0.0008985147,0.0004005505,0.0001360563,0.0007975208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001174969,0.0005305193,0.01403637,0.001875971,0.0005259892,0.001083587,0.02066281,0.0003283411,0.0006527331,0.314591,0.2119733,0.4336219],"study_design_scores_gemma":[0.004729635,0.01570979,0.1359183,0.01013496,0.0006631458,0.1929958,0.01322935,0.2066325,0.001259928,0.08473999,0.3304862,0.003500324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0703849,0.1001315,0.4648051,0.3506928,0.008294835,0.001721289,0.0003097692,0.0002729518,0.003386864],"genre_scores_gemma":[0.9832145,0.005717782,0.006012698,0.004121197,0.000417215,0.00001258196,0.000006315299,0.00001847761,0.0004792596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128296,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07040236052515342,"score_gpt":0.4058209290159926,"score_spread":0.3354185684908392,"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."}}