{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02869541,0.0001159039,0.0005420671,0.0001790505,0.0002713104,0.0001468061,0.0008254333,0.0001159994,0.0006680153],"category_scores_gemma":[0.1987158,0.0000400947,0.0003708544,0.001040519,0.000230865,0.0002155657,0.0001387442,0.001012654,0.0000936656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156436,"about_ca_system_score_gemma":0.0001559121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003250439,"about_ca_topic_score_gemma":0.00003339224,"domain_scores_codex":[0.993582,0.002477036,0.000964644,0.0001730288,0.002227517,0.0005758138],"domain_scores_gemma":[0.8848307,0.00328927,0.000391178,0.00009154492,0.1108199,0.0005774993],"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":[0.0005701082,0.0004678113,0.0002849917,0.00006101348,0.0002598503,0.00001473942,0.0001110663,0.000003758156,0.0183027,0.0003307017,0.8428055,0.1367877],"study_design_scores_gemma":[0.001025372,0.0287905,0.001663086,0.0003292131,0.00006592234,0.00001854952,0.0007806046,0.0000848211,0.01119137,0.03507602,0.9208141,0.000160444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661049,0.01509323,0.001208406,0.002554996,0.01016653,0.0009329219,0.0001085792,0.000008494628,0.003821964],"genre_scores_gemma":[0.8794925,0.004143627,0.03903103,0.0003206415,0.0638668,0.00003629199,0.00001341926,0.00001715419,0.01307851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1700204,"threshold_uncertainty_score":0.9945313,"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."}}