{"id":"W4232598815","doi":"10.5539/jfr.v4n3p182","title":"Reviewer Acknowledgements for Journal of Food Research, Vol. 4, No. 3","year":2015,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","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":[0.02868374,0.0001158889,0.0005421183,0.0001789953,0.0002712889,0.0001470847,0.000824954,0.0001159902,0.0006528249],"category_scores_gemma":[0.1986763,0.00004008526,0.0003708325,0.001040163,0.0002308801,0.0002157189,0.0001386516,0.001012463,0.0000946113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160674,"about_ca_system_score_gemma":0.0001559918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003284507,"about_ca_topic_score_gemma":0.00003360179,"domain_scores_codex":[0.9935834,0.002474868,0.0009650518,0.0001729612,0.002227961,0.0005757796],"domain_scores_gemma":[0.884193,0.003258692,0.0003907837,0.00009131263,0.1114894,0.0005767879],"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":[0.000582364,0.0004750235,0.0002898763,0.00006295776,0.0002637704,0.00001514,0.0001128337,0.000003818898,0.01863573,0.0003340071,0.838515,0.1407095],"study_design_scores_gemma":[0.001028784,0.02848544,0.00163838,0.0003255003,0.00006476431,0.0000182178,0.0007699273,0.00008415295,0.01130778,0.03484088,0.9212772,0.0001589621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661053,0.01508669,0.001208446,0.002530711,0.01020293,0.0009280724,0.0001064591,0.000008440647,0.003822926],"genre_scores_gemma":[0.8799736,0.004162904,0.03828329,0.000317702,0.06399506,0.00003536491,0.0000130958,0.00001700802,0.01320198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1699925,"threshold_uncertainty_score":0.994127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4793660646241916,"score_gpt":0.492215632661572,"score_spread":0.01284956803738041,"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."}}