{"id":"W4386099355","doi":"10.5772/intechopen.1002487","title":"Projected Augmented Reality to Display Medical Information Directly on a Patient’s Skin","year":2023,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Computer vision; Computer science; Visualization; Artificial intelligence; Projector; Rendering (computer graphics); Volume rendering; Computer graphics (images); Optical head-mounted display; Orientation (vector space); Match moving; Context (archaeology); Motion (physics); Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006084066,0.0005238366,0.0005027155,0.0006461958,0.0002182747,0.0003094566,0.002298255,0.0006014881,0.00009256699],"category_scores_gemma":[0.0002996878,0.0004802789,0.0001983259,0.0001849979,0.0001245109,0.0002902218,0.001547835,0.0009607629,0.003796224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004758534,"about_ca_system_score_gemma":0.0004850561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004248309,"about_ca_topic_score_gemma":0.0005267248,"domain_scores_codex":[0.9958962,0.00007478588,0.001054391,0.0007918305,0.001723186,0.0004596134],"domain_scores_gemma":[0.9966643,0.0002379666,0.0005029075,0.001824174,0.0003399151,0.0004307377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004811553,0.00004237315,2.955451e-7,0.00004247467,0.0001201166,0.0000274834,0.001285031,0.0000125438,0.00002345988,0.5013837,0.03700415,0.4600103],"study_design_scores_gemma":[0.0004987925,0.000412365,0.00003234144,0.001218086,0.0000361097,0.00003746833,0.00003409557,0.003005367,0.001472977,0.01745299,0.9749245,0.0008748763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003110357,0.000002623343,0.1571012,0.003087151,0.0005181607,0.002861978,0.0002458687,0.001277911,0.834874],"genre_scores_gemma":[0.02569715,0.00004679752,0.00565105,0.01727451,0.000509597,0.00503421,0.001892208,0.0003767591,0.9435177],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9379204,"threshold_uncertainty_score":0.9997649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665582000801988,"score_gpt":0.2784790088017097,"score_spread":0.2518231887936899,"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."}}