{"id":"W4399179435","doi":"10.2196/55342","title":"A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Computer science; Psychology; Human–computer interaction","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":[0.003694067,0.0006090675,0.000503534,0.0006672073,0.000297909,0.0006498565,0.0006154507,0.0006414653,0.001334799],"category_scores_gemma":[0.008124355,0.0002936874,0.0006198263,0.0002167217,0.0002759153,0.001192973,0.0008379734,0.0004836411,0.0004046452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971978,"about_ca_system_score_gemma":0.0004926783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373023,"about_ca_topic_score_gemma":0.00304989,"domain_scores_codex":[0.9989392,0.0004066355,0.0001711318,0.0001431897,0.0002344725,0.0001053739],"domain_scores_gemma":[0.9957924,0.002452858,0.0001429856,0.0001956536,0.001187549,0.0002285473],"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":[0.004055309,0.01437802,0.1769297,0.01007276,0.0006615074,0.007834186,0.04186244,0.002436214,0.05933335,0.0007660173,0.01801368,0.6636568],"study_design_scores_gemma":[0.002466111,0.05885958,0.643362,0.005344079,0.002720108,0.0169027,0.03683859,0.04757294,0.05426138,0.001441766,0.1295148,0.0007159484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889392,0.0005705254,0.006013406,0.0001726957,0.00004255195,0.001709001,0.0004110536,0.0003861292,0.001755354],"genre_scores_gemma":[0.9494215,0.001516059,0.04130552,0.0005575232,0.00004497976,0.002824742,0.0011381,0.0001352977,0.003056336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003694067,"threshold_uncertainty_score":0.01953638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07126268342859125,"score_gpt":0.402107536241283,"score_spread":0.3308448528126917,"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."}}