{"id":"W2087082746","doi":"10.1109/tim.2014.2303533","title":"Measuring Calorie and Nutrition From Food Image","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":250,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Calorie; Measure (data warehouse); Food energy; Computer science; Obesity; Food consumption; Consumption (sociology); Environmental health; Medicine; Database; Agricultural economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530859,0.0004620086,0.000394572,0.00105285,0.000233401,0.0006728662,0.0004668561,0.0007241244,0.003894574],"category_scores_gemma":[0.001144412,0.0002059774,0.0002763243,0.0008359927,0.0001882164,0.0007451416,0.0004468545,0.0003145273,0.001235665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595809,"about_ca_system_score_gemma":0.0001629017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573914,"about_ca_topic_score_gemma":0.003178088,"domain_scores_codex":[0.9996957,0.00003460705,0.00001809306,0.00008954232,0.0001404957,0.00002163047],"domain_scores_gemma":[0.9996234,0.0001008252,0.00004659323,0.00004168218,0.0001678935,0.00001960923],"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":[0.0008170797,0.0002745143,0.06012973,0.0008798537,0.000182951,0.0003092761,0.00032245,0.001457695,0.4405858,0.0007735727,0.006012041,0.4882551],"study_design_scores_gemma":[0.0001263029,0.0008347529,0.3102248,0.0001326645,0.0004266903,0.003463036,0.0005922545,0.06445908,0.5960678,0.001557943,0.02189259,0.0002220698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5810617,0.002405788,0.3837794,0.0004347584,0.0004981267,0.0005184495,0.003414349,0.005605647,0.02228192],"genre_scores_gemma":[0.7166027,0.001408,0.2709474,0.000650418,0.0001299482,0.0002540166,0.001792426,0.000312848,0.007902201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003894574,"threshold_uncertainty_score":0.01302862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05388928320850263,"score_gpt":0.250623016852959,"score_spread":0.1967337336444564,"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."}}