{"id":"W3089943675","doi":"10.2196/18507","title":"Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Ranking (information retrieval); Meal; Computer science; Artificial neural network; Control (management); Artificial intelligence; Deep learning; 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":[0.0009071075,0.0001153926,0.0005116559,0.0002529683,0.0003235886,0.00002298364,0.00008042138,0.00002099738,0.0000488577],"category_scores_gemma":[0.0001104694,0.00008875808,0.0000511198,0.0009120773,0.00009314811,0.00007613378,0.0001719973,0.0003910619,0.00001773758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009046905,"about_ca_system_score_gemma":0.00008406572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000515014,"about_ca_topic_score_gemma":0.00004775287,"domain_scores_codex":[0.9978276,0.0003159083,0.0004158317,0.0002296339,0.0009332,0.0002777862],"domain_scores_gemma":[0.9987777,0.000323023,0.0001036135,0.0001058589,0.0004465495,0.0002432376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03091091,0.008053849,0.865439,0.007201998,0.009919205,0.0002843748,0.06109682,0.0001473448,0.002808097,0.000470507,0.004898508,0.008769378],"study_design_scores_gemma":[0.009466281,0.01895126,0.8941498,0.0003917739,0.0002376154,0.00000166046,0.05012986,0.02247084,0.001092341,0.00001063804,0.002887343,0.0002105633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931588,0.0009467716,0.001845425,0.002057056,0.000008121117,0.001014188,0.00006813175,0.0000499036,0.0008516008],"genre_scores_gemma":[0.9977012,0.00002605817,0.001869771,0.0001032788,0.00004202428,0.000126988,0.0001060052,0.00001033626,0.00001433445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02871082,"threshold_uncertainty_score":0.3619449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447728020943233,"score_gpt":0.4224541485579656,"score_spread":0.2776813464636423,"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."}}