{"id":"W4241791109","doi":"10.14206/canad.j.clin.nutr.2020.01.04","title":"Evaluation of Dietary Intake Analysis Using Egyptian Modified Food Processor Software and Traditional Method: A Comparative Study","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Clinical Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Food intake; Food science; Computer science; Software; Medicine; Chemistry; Internal medicine; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936764,0.0001222209,0.0009125744,0.0002706423,0.000113247,0.00001741289,0.00006639233,0.0000909769,0.00007933281],"category_scores_gemma":[0.001359062,0.0001097872,0.0003340151,0.0006179813,0.0001320122,0.0001333397,0.000008093513,0.0003151406,4.522554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009427961,"about_ca_system_score_gemma":0.0008391292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002397406,"about_ca_topic_score_gemma":0.002584118,"domain_scores_codex":[0.9973809,0.0004391797,0.001124078,0.000203181,0.0007135317,0.0001391443],"domain_scores_gemma":[0.9964669,0.0003885055,0.0005166517,0.00007100498,0.001851129,0.0007057866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01803542,0.0218188,0.7712646,0.003355121,0.0634049,0.0007613762,0.01720756,0.0145531,0.001005542,0.001075604,0.01599227,0.07152571],"study_design_scores_gemma":[0.01930068,0.01223928,0.9035466,0.0004757581,0.01779232,0.00009457367,0.008679173,0.0302702,0.00006493423,0.006941708,0.0003214506,0.0002733832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914567,0.001797111,0.003341527,0.002454456,0.00008540803,0.0005998455,0.0001984669,0.000003968687,0.00006248247],"genre_scores_gemma":[0.9853731,0.00005263994,0.01364361,0.000376794,0.0004890572,0.000009718946,0.00004719195,0.000007335026,5.609839e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1322819,"threshold_uncertainty_score":0.4476992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5471762364492159,"score_gpt":0.4803045192428514,"score_spread":0.06687171720636448,"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."}}