{"id":"W2994561937","doi":"10.2196/14919","title":"Medical Videography Using a Mobile App: Retrospective Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Mayo Clinic","keywords":"Videography; Telemedicine; Medicine; Medical record; Video game; Health care; Multimedia; Computer science; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006796251,0.0005401851,0.001127198,0.005753614,0.0009888795,0.001805908,0.001044985,0.0008805781,0.002761637],"category_scores_gemma":[0.04032868,0.0008135127,0.001231861,0.006183333,0.0009538629,0.00209594,0.001952285,0.0009880419,0.0009850519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482213,"about_ca_system_score_gemma":0.002330509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006232375,"about_ca_topic_score_gemma":0.006828801,"domain_scores_codex":[0.9873478,0.002025681,0.004573315,0.001890223,0.003399414,0.0007635342],"domain_scores_gemma":[0.9434471,0.0156198,0.02380517,0.004148292,0.01187501,0.001104651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003090847,0.00006454949,0.9878669,0.001095765,0.0001669619,0.0008884676,0.001133222,0.00003356051,0.0002142536,0.00008693177,0.001174982,0.006965285],"study_design_scores_gemma":[0.00005287998,0.0007325617,0.9722511,0.002971362,0.000897372,0.007299174,0.006473732,0.0005885215,0.0007499812,0.000133959,0.007775171,0.00007409315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975299,0.009963643,0.002627818,0.0002504642,0.00007658735,0.001773267,0.007437308,0.00004255851,0.002529364],"genre_scores_gemma":[0.988801,0.003847225,0.001601162,0.0003825341,0.00007726446,0.001251238,0.003575427,0.00003869438,0.0004255055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006796251,"threshold_uncertainty_score":0.03594249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345332075240268,"score_gpt":0.420248252250163,"score_spread":0.3857150447261362,"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."}}