{"id":"W4402916070","doi":"10.1109/cvprw63382.2024.00380","title":"How Much You Ate? Food Portion Estimation on Spoons","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"National Research Council","keywords":"Estimation; Computer science; Engineering","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":[0.0001472928,0.0005415843,0.0003094282,0.0007555021,0.000170701,0.0003879631,0.0002399102,0.0003801186,0.003861828],"category_scores_gemma":[0.0006678976,0.0001428761,0.0002018827,0.0006183615,0.00009159606,0.0003978463,0.000274151,0.0002062242,0.001810021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337221,"about_ca_system_score_gemma":0.0001270898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339107,"about_ca_topic_score_gemma":0.005562609,"domain_scores_codex":[0.9998167,0.00002107695,0.000007415419,0.00006766619,0.00006299266,0.00002407068],"domain_scores_gemma":[0.9997985,0.00004930422,0.00003576772,0.00001140967,0.0000884695,0.0000165791],"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":[0.002586745,0.0002293011,0.09873873,0.0009609792,0.0001405586,0.0008675963,0.0007250241,0.002531894,0.2838727,0.0007798807,0.01275462,0.595812],"study_design_scores_gemma":[0.00006555724,0.000829862,0.541151,0.0003068669,0.0002435354,0.002647896,0.001773864,0.1914452,0.2266138,0.001514937,0.03318858,0.0002189053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7925166,0.001860626,0.1706177,0.0002470897,0.0002819679,0.0002706789,0.006354556,0.002667943,0.0251829],"genre_scores_gemma":[0.8845296,0.001374861,0.09671389,0.0003291949,0.000071102,0.0002109469,0.003359864,0.0001775183,0.01323306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003861828,"threshold_uncertainty_score":0.01291907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086346998990854,"score_gpt":0.2117548515002883,"score_spread":0.2008913815103798,"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."}}