{"id":"W4205498333","doi":"10.2196/31852","title":"An Innovative App (ExoDont) for Postoperative Care of Patients After Tooth Extraction: Prototype Development and Testing Study","year":2021,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Android (operating system); Medicine; Software; Health care; Protocol (science); Computer science; Multimedia; Operating system; Alternative medicine","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":[0.0004873177,0.0002544337,0.0005474242,0.0001188486,0.0009812581,0.000007695181,0.00008834471,0.0001228185,0.0002632487],"category_scores_gemma":[0.0006062292,0.0001923811,0.0000146969,0.000637664,0.000140578,0.0001785677,0.00005833343,0.0004280479,0.000006988475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350917,"about_ca_system_score_gemma":0.001832758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008463882,"about_ca_topic_score_gemma":0.000754775,"domain_scores_codex":[0.9972619,0.0004460047,0.001026295,0.0005615631,0.0002876208,0.0004165554],"domain_scores_gemma":[0.9936668,0.000411572,0.0003196451,0.0003136624,0.005018302,0.0002700436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009807282,0.0009156251,0.5805477,0.001236569,0.00004246974,0.000006648355,0.3484578,0.000001726125,0.001055313,0.0007455408,0.0002045733,0.06580527],"study_design_scores_gemma":[0.004701821,0.003844146,0.7826352,0.0004066383,0.00002011003,9.81336e-7,0.1219043,0.00002789194,0.0004308312,0.000006309614,0.08582354,0.0001981958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753186,0.0003983227,0.000501262,0.0009500596,0.0002146809,0.02086688,0.00007875053,0.00005107874,0.001620387],"genre_scores_gemma":[0.9216353,0.00001022122,0.006067337,0.001391024,0.0002356684,0.06994543,0.0002755114,0.00002790609,0.0004115976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2265535,"threshold_uncertainty_score":0.7845073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680674200983992,"score_gpt":0.4608581097616077,"score_spread":0.3940513677517677,"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."}}