{"id":"W2801080976","doi":"10.2196/mhealth.9975","title":"Assessment of Google Glass for Photographic Documentation in Veterinary Forensic Pathology: Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Digital camera; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00130321,0.0001378273,0.000471497,0.0002347675,0.00007115078,0.00000882854,0.00005419183,0.00005533951,0.00001365714],"category_scores_gemma":[0.00009580886,0.0001168476,0.00003689568,0.0003059728,0.0003070983,0.0001208195,0.00003323462,0.0001631387,9.637631e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128936,"about_ca_system_score_gemma":0.0002966292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002146943,"about_ca_topic_score_gemma":0.0001057003,"domain_scores_codex":[0.9983329,0.0001148613,0.0005922713,0.0003656432,0.0002297723,0.000364532],"domain_scores_gemma":[0.9989914,0.0001445334,0.000198869,0.0002952807,0.0001434241,0.0002265225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007165628,0.001536634,0.9650484,0.002446798,0.0000151636,0.00001722793,0.001670447,1.663627e-7,0.000603425,0.000178442,0.0003310325,0.02743566],"study_design_scores_gemma":[0.004699838,0.01490635,0.9774304,0.000137606,0.00005530386,0.00004187409,0.001424252,0.0003968843,0.00003153048,0.0005199836,0.0002826295,0.0000733429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949325,0.0001071358,0.0001877842,0.0009527706,0.0002409602,0.002759285,0.00001516613,0.00003184956,0.0007725304],"genre_scores_gemma":[0.9953426,0.00005232156,0.003040327,0.001104298,0.0001203004,0.000260101,0.00003537035,0.00001642187,0.00002822175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736231,"threshold_uncertainty_score":0.4764908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06789043777148426,"score_gpt":0.4642128604110382,"score_spread":0.396322422639554,"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."}}