{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138044,0.000114638,0.0001486487,0.00006975992,0.0002216725,0.0000300249,0.00001483921,0.0000395575,0.00009431276],"category_scores_gemma":[0.000006955885,0.0001085612,0.00004233314,0.00005910578,0.00005089608,0.00009275087,7.267093e-7,0.00009446796,0.00001458514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009629654,"about_ca_system_score_gemma":0.00001345653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007301438,"about_ca_topic_score_gemma":0.00007416673,"domain_scores_codex":[0.9990863,0.00002984008,0.0001729009,0.0002102436,0.0003862735,0.000114501],"domain_scores_gemma":[0.999627,0.00002348061,0.00003470389,0.0000784952,0.0001155971,0.0001207364],"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":[0.004173959,0.004715981,0.003253823,0.001292221,0.001420676,0.000009104476,0.001410694,0.0000282123,0.255915,0.001595614,0.00247809,0.7237065],"study_design_scores_gemma":[0.06257994,0.01113634,0.1053679,0.002878502,0.001822541,0.00009016079,0.005754156,0.001475564,0.7180953,0.00696733,0.08224174,0.001590541],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8408553,0.0004260582,0.1514602,0.003120257,0.0004664648,0.0008522963,0.00008757771,0.0001045204,0.002627365],"genre_scores_gemma":[0.9967413,0.0004025959,0.002224643,0.0003959694,0.00008369655,0.0001024777,0.000010994,0.00001038949,0.00002793058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7221161,"threshold_uncertainty_score":0.4426998,"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."}}