{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000008881519,0.0000841096,0.00005869834,0.00005906638,0.0000129651,0.0000442347,0.00005320789,0.00007822489,0.00002110089],"category_scores_gemma":[0.00004514141,0.00007208413,0.00002605301,0.0001472969,0.00001401172,0.0001286159,0.00001014534,0.0001277302,0.0000819356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000731855,"about_ca_system_score_gemma":7.27031e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.444447e-7,"about_ca_topic_score_gemma":0.00000140461,"domain_scores_codex":[0.9996154,0.000001044668,0.00006909402,0.0001139589,0.00007681619,0.0001236729],"domain_scores_gemma":[0.9998208,0.00002251804,0.000005067382,0.0001262444,0.000007010309,0.0000183483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003086271,0.0000150204,0.0000127198,0.0001572644,0.00004588189,0.00001750803,0.00003758517,0.04176556,0.4968722,0.06929037,0.004927526,0.3868553],"study_design_scores_gemma":[0.00003508249,0.00003357436,0.00002482512,0.00002694257,0.000005189276,0.000004095774,0.00005219094,0.11416,0.8618833,0.01682507,0.006841433,0.000108381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8345963,0.0004171277,0.1409071,0.002118152,0.0003385402,0.0001314916,0.00000893827,0.01026316,0.01121911],"genre_scores_gemma":[0.9930719,0.00003222478,0.006206595,0.00001031383,0.00002621825,0.00001030239,0.00001086889,0.00002082666,0.000610806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867469,"threshold_uncertainty_score":0.2939506,"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."}}