{"id":"W2083634762","doi":"10.1109/i2mtc.2012.6229581","title":"A novel method for measuring nutrition intake based on food image","year":2012,"lang":"en","type":"article","venue":"","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Overweight; Obesity; Food intake; Computer science; Calorie; Environmental health; Food consumption; Image processing; Energy consumption; Artificial intelligence; Image (mathematics); Computer vision; Medicine; Engineering; 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":[0.0003825103,0.0005629059,0.0007305173,0.001475228,0.0003183505,0.0007806642,0.0009032122,0.001021816,0.003158417],"category_scores_gemma":[0.0009009887,0.0003388368,0.0004180352,0.001140981,0.000282963,0.001159579,0.0006188184,0.0005504977,0.002034582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202862,"about_ca_system_score_gemma":0.0002742017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006441551,"about_ca_topic_score_gemma":0.0009967857,"domain_scores_codex":[0.9994578,0.00005687747,0.00003432898,0.0001872595,0.0002325229,0.00003122275],"domain_scores_gemma":[0.9995552,0.0001036915,0.00004658525,0.00005403324,0.0002156851,0.00002479051],"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":[0.0004009051,0.0001560012,0.006376449,0.0008055693,0.00009776746,0.0001997559,0.0001573465,0.0008213802,0.3089826,0.001508145,0.005337017,0.6751572],"study_design_scores_gemma":[0.0002351851,0.001495082,0.07350761,0.0002382448,0.0005670552,0.007189668,0.0003953706,0.1784973,0.650507,0.003237253,0.08358642,0.0005438348],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03904758,0.001912438,0.9476256,0.0002249695,0.0007979292,0.0003405362,0.0007860441,0.003952307,0.005312664],"genre_scores_gemma":[0.1593393,0.001486255,0.8309603,0.0003252723,0.0002474629,0.0004636883,0.0007234494,0.0002068243,0.006247477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003158417,"threshold_uncertainty_score":0.010566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08506721766839953,"score_gpt":0.3315758008642965,"score_spread":0.246508583195897,"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."}}