{"id":"W4392772393","doi":"10.5539/jfr.v13n1p61","title":"Reviewer Acknowledgements for Journal of Food Research, Vol. 13 No. 1","year":2024,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006989184,0.0001117516,0.0002726022,0.0004797356,0.000162516,0.0001183666,0.0007277065,0.0001253077,0.00008708084],"category_scores_gemma":[0.01753073,0.00008134812,0.0003157249,0.0005125856,0.000237044,0.00002050834,0.0002144028,0.0007754564,0.0000927358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004280996,"about_ca_system_score_gemma":0.0007597692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.44506e-7,"about_ca_topic_score_gemma":0.000008704312,"domain_scores_codex":[0.9973971,0.0003572585,0.0006611382,0.0001922802,0.0009275129,0.0004647141],"domain_scores_gemma":[0.9685046,0.0001842643,0.0001620489,0.0003093496,0.03060965,0.0002301067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001148934,0.0001707419,0.00001762711,0.000229673,0.0002678712,0.000003819864,0.00004341131,0.000001724932,0.1884273,0.0002367197,0.7937472,0.01673898],"study_design_scores_gemma":[0.0005191435,0.003212114,0.00005139206,0.0002321141,0.00003057101,0.00002164335,0.00005490209,0.00001404658,0.1728681,0.001862043,0.8210651,0.00006888518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6061001,0.3633853,0.006654157,0.002600047,0.01476242,0.001713208,0.0002523497,0.000009755747,0.00452267],"genre_scores_gemma":[0.8874472,0.03636592,0.004119624,0.0001317882,0.04834383,0.0001178933,0.00003129118,0.0001292414,0.02331322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3270193,"threshold_uncertainty_score":0.990745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034201700794528,"score_gpt":0.4374227632253827,"score_spread":0.3340025931459299,"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."}}