{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002828017,0.0008899346,0.0007002712,0.0006995415,0.0002873281,0.000734999,0.001601626,0.001145354,0.002945387],"category_scores_gemma":[0.006082743,0.0002953525,0.0005316054,0.0006431383,0.0002997146,0.0009295275,0.0007645558,0.0007456128,0.001199935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008361416,"about_ca_system_score_gemma":0.000801223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00733659,"about_ca_topic_score_gemma":0.005024679,"domain_scores_codex":[0.9989958,0.0003387009,0.0001054602,0.0002702345,0.0001922244,0.00009753292],"domain_scores_gemma":[0.9967879,0.001544655,0.0001243597,0.0003041186,0.001093873,0.0001450715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003581228,0.007119406,0.03471304,0.001292898,0.0006186394,0.000998631,0.0006855653,0.04724096,0.06194336,0.0005434306,0.01160552,0.8296573],"study_design_scores_gemma":[0.000656969,0.003977518,0.03060893,0.00007752404,0.0002616052,0.0006645857,0.0003530625,0.9039302,0.05446042,0.0005791321,0.004323904,0.0001061374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725039,0.0009654738,0.1132296,0.0004478708,0.0002254714,0.002426488,0.001326105,0.006575871,0.002299211],"genre_scores_gemma":[0.7958379,0.000350492,0.1975767,0.0002409834,0.00006375755,0.001350428,0.002831045,0.0001044217,0.001644345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00733659,"threshold_uncertainty_score":0.01495618,"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."}}