{"id":"W4236534883","doi":"10.5539/jfr.v4n1p200","title":"Reviewer Acknowledgements for Journal of Food Research, Vol. 4, No. 1","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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05753848,0.00246213,0.006389862,0.008038232,0.004429478,0.008270307,0.005191151,0.01469278,0.06329376],"category_scores_gemma":[0.5244802,0.001560224,0.004388616,0.00364629,0.002794039,0.006118346,0.003817066,0.01159277,0.03335861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006195617,"about_ca_system_score_gemma":0.01413527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592859,"about_ca_topic_score_gemma":0.007341373,"domain_scores_codex":[0.9425667,0.01337843,0.01224413,0.003742851,0.0257083,0.002359562],"domain_scores_gemma":[0.1605891,0.04215271,0.01449485,0.006406775,0.7673279,0.009028777],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005291766,0.000006143302,0.0001339483,0.0006921598,0.00001380401,0.0000835868,0.00008065326,0.000009917478,0.00005749808,0.0001359077,0.9944629,0.004270573],"study_design_scores_gemma":[0.0002236677,0.00005529331,0.001421898,0.004813712,0.0001248051,0.001017081,0.0006824353,0.0002552568,0.0003599667,0.001607917,0.9892821,0.0001558468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002027985,0.003607496,0.0009980456,0.2309854,0.7601342,0.0006615944,0.0008392363,0.0003707694,0.00220042],"genre_scores_gemma":[0.006916659,0.009562223,0.004735043,0.294111,0.6318262,0.004023629,0.001633701,0.001272002,0.04591959],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9424616,"threshold_uncertainty_score":0.3042962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4850125824500144,"score_gpt":0.4929597857417981,"score_spread":0.007947203291783722,"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."}}