{"id":"W4293530385","doi":"10.3390/foods11172594","title":"Flavor Differences of Edible Parts of Grass Carp between Jingpo Lake and Commercial Market","year":2022,"lang":"en","type":"article","venue":"Foods","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Grass carp; Flavor; Electronic nose; Food science; Chemistry; Taste; Carp; Fish <Actinopterygii>; Odor; Biology; Organic chemistry; Fishery","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":[0.00003543437,0.00007892602,0.0002108009,0.00004280186,0.00003173336,0.000002417341,0.0001449282,0.00004869577,0.00007148276],"category_scores_gemma":[0.00003705234,0.00007899213,0.00002679346,0.0001284431,0.00008240536,0.00002586138,0.0001332334,0.0001636359,1.856439e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001264853,"about_ca_system_score_gemma":0.000001547869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000827984,"about_ca_topic_score_gemma":0.0000273237,"domain_scores_codex":[0.9994977,0.00001235854,0.0001534286,0.00008628123,0.0001177518,0.0001324514],"domain_scores_gemma":[0.9996938,0.0001069905,0.00003636883,0.000131109,0.00001001407,0.00002175974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006147019,0.00009823538,0.7356846,0.0008482321,0.0003713656,0.000008446747,0.0006614284,0.002949664,0.1787688,0.0006094935,0.01153388,0.06840438],"study_design_scores_gemma":[0.0006379489,0.0003855704,0.174295,0.00004849584,0.00006873636,0.000003699176,0.0005361075,0.001162535,0.8004484,0.006171112,0.01582543,0.0004169701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977935,0.0002598368,0.000234785,0.00005419018,0.00008466884,0.00005929984,0.0001312828,0.0001534956,0.001228968],"genre_scores_gemma":[0.9991218,0.00003274118,0.0007651484,0.000002956411,0.00002693281,0.00001239386,0.000007272667,0.00001131641,0.0000194259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6216797,"threshold_uncertainty_score":0.3221206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489587905393512,"score_gpt":0.2122388190868968,"score_spread":0.1973429400329617,"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."}}