{"id":"W4230383975","doi":"10.3136/nskkk.50.372","title":"Food Science and Technology Research Vol. 9, No. 1(2003)","year":2003,"lang":"en","type":"article","venue":"Nippon Shokuhin Kagaku Kogaku Kaishi","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005922969,0.0003008313,0.0003823825,0.0002367031,0.001267431,0.0003857577,0.001290645,0.0003932412,0.0005190446],"category_scores_gemma":[0.01599823,0.0001368356,0.00003908356,0.007127109,0.001760605,0.0004775723,0.0004892254,0.0007577291,0.0008364784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053642,"about_ca_system_score_gemma":0.0002607791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170324,"about_ca_topic_score_gemma":0.0002998021,"domain_scores_codex":[0.9951082,0.0003838724,0.0004432898,0.001124942,0.001632764,0.001306933],"domain_scores_gemma":[0.9923731,0.0002496495,0.0001242453,0.0003736957,0.006517662,0.0003616168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007379068,0.0003224036,0.02369934,0.00005150409,0.00004102307,0.00003578966,0.0002371698,6.477696e-7,0.8050236,0.06177887,0.05339779,0.05533812],"study_design_scores_gemma":[0.0004138513,0.002392553,0.0061128,0.00007908554,0.000009090596,0.00008455337,0.001278769,0.00005429572,0.06681433,0.00611222,0.9160194,0.0006290998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454206,0.001222195,0.000002659167,0.001263312,0.001449122,0.0009805197,0.00003407697,0.0003191288,0.04930837],"genre_scores_gemma":[0.9966637,0.00005354291,0.0004332598,0.0001805137,0.0004138013,0.0001441638,0.000006131774,0.000004821772,0.002100023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8626215,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06502179960632751,"score_gpt":0.2948984972005302,"score_spread":0.2298766975942027,"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."}}