{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002260824,0.0006118489,0.0004735613,0.0005896208,0.0003313289,0.0007721507,0.001460102,0.0009273815,0.003682926],"category_scores_gemma":[0.005153293,0.0003074853,0.0006184345,0.0002034553,0.0005174344,0.001084452,0.0007848212,0.0005171004,0.0008687861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732909,"about_ca_system_score_gemma":0.0008729064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007679339,"about_ca_topic_score_gemma":0.0009680322,"domain_scores_codex":[0.9986083,0.0003953738,0.0001378927,0.0001946393,0.0005246353,0.0001392997],"domain_scores_gemma":[0.997174,0.001222815,0.0001369038,0.0001946628,0.001082174,0.0001893632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003096402,0.02220828,0.05195531,0.00919138,0.0004383154,0.007124389,0.01966834,0.005085786,0.2371373,0.003033652,0.0225281,0.6185328],"study_design_scores_gemma":[0.003784955,0.1569414,0.2535028,0.004101435,0.002108966,0.02597667,0.01934373,0.07253358,0.2601791,0.00186846,0.1987784,0.0008806449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531004,0.001014546,0.0329208,0.0004171046,0.0002512709,0.005450427,0.0005034524,0.0009355204,0.00540633],"genre_scores_gemma":[0.8579711,0.001702379,0.1236436,0.0005708517,0.00007819972,0.003865327,0.0008884344,0.0001903766,0.01108965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003682926,"threshold_uncertainty_score":0.01232058,"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."}}