{"id":"W4388016037","doi":"10.1145/3603421.3603430","title":"Augmented Reality and Machine Learning in Health: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Augmented reality; Computer science; Modalities; Human–computer interaction; Visualization; Mixed reality; Artificial intelligence; Data science; Multimedia; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003667698,0.0003601831,0.003081291,0.0002805003,0.0001238149,0.00009200319,0.0009933583,0.0001239287,0.000007072059],"category_scores_gemma":[0.0004085151,0.0002660894,0.0002035659,0.001924711,0.00003096935,0.0001163265,0.0006643066,0.0006013521,0.0001932428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300026,"about_ca_system_score_gemma":0.0003170561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007316679,"about_ca_topic_score_gemma":0.0002820276,"domain_scores_codex":[0.9950752,0.001534018,0.001956251,0.0007419077,0.0003353938,0.0003572929],"domain_scores_gemma":[0.9970182,0.0005886488,0.001031581,0.001163828,0.00003517739,0.0001625977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[3.686861e-8,0.00001745961,8.677147e-8,0.9088456,0.00004078105,0.000003602705,0.00001888489,7.987441e-7,1.107734e-9,0.007725899,0.0004153711,0.08293146],"study_design_scores_gemma":[0.00004579812,0.00001496106,2.812922e-7,0.7349083,0.0001308701,0.00004704149,0.000002950165,0.002736435,3.697797e-9,0.0001291282,0.2617906,0.0001935911],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.034988e-10,0.9244871,0.06800047,0.002171087,0.00003252997,0.004542224,0.00001417741,0.0004867854,0.0002656544],"genre_scores_gemma":[4.5045e-8,0.9956426,0.000686336,0.0004315242,0.000008903458,0.001318136,0.000114013,0.00002880555,0.001769621],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2613752,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.169855147683664,"score_gpt":0.4046582962132684,"score_spread":0.2348031485296044,"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."}}