{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003945054,0.00121447,0.003623022,0.007231908,0.0004465581,0.002181732,0.001560124,0.001819829,0.00689174],"category_scores_gemma":[0.0160205,0.0006235143,0.002827058,0.008216541,0.0007442849,0.002290832,0.001285192,0.00114781,0.0008345983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447042,"about_ca_system_score_gemma":0.006676118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005783928,"about_ca_topic_score_gemma":0.01511738,"domain_scores_codex":[0.9976573,0.0007890954,0.0007356385,0.0002179275,0.000528695,0.00007138601],"domain_scores_gemma":[0.9850919,0.0121922,0.001184676,0.0001844941,0.001203054,0.0001436887],"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":[0.00009778531,0.00004747191,0.0004543024,0.5403758,0.001239359,0.0001207507,0.0002185725,0.0002288669,0.0001558796,0.001209086,0.007848344,0.4480037],"study_design_scores_gemma":[0.00008738338,0.0002395425,0.00379793,0.7421793,0.00852312,0.001103609,0.000415,0.0002276181,0.0002664454,0.001551142,0.2415356,0.00007331184],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007818149,0.9994372,0.00007089164,0.0001358279,0.00004467747,0.00001835528,0.00003675012,0.000002520871,0.0001757],"genre_scores_gemma":[0.0009534232,0.9985266,0.0002365421,0.0001236027,0.0000386278,0.00003263435,0.00003423738,0.000001527705,0.00005287085],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007231908,"threshold_uncertainty_score":0.02305514,"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."}}