{"id":"W2104482761","doi":"10.5539/jfr.v2n6p12","title":"Influence of Fat and Moisture Content in the Processing of Light Requeijão","year":2013,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Linear regression; Moisture; Food science; Mathematics; Regression analysis; Response surface methodology; Statistics; Chemistry; Animal science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001852402,0.00004002433,0.0001819327,0.00003132366,0.00005444089,0.00003366404,0.0002193997,0.00004020906,0.0000301691],"category_scores_gemma":[0.0009387689,0.00001023655,0.00004287287,0.000372736,0.0001345158,0.00008478396,0.00002778261,0.0002803811,3.922042e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006140773,"about_ca_system_score_gemma":0.000008465354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001727791,"about_ca_topic_score_gemma":0.00006992305,"domain_scores_codex":[0.9985074,0.0005152183,0.000335029,0.00006425059,0.0004542164,0.0001238726],"domain_scores_gemma":[0.9982655,0.0008895939,0.0001531065,0.00002923033,0.0006151878,0.00004737465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003957543,0.00008712085,0.008362073,0.00002969624,0.00001372782,0.000005021754,0.0003930854,0.00001173813,0.9316959,0.0006017683,0.0001273584,0.05863287],"study_design_scores_gemma":[0.0001535352,0.001875254,0.9367227,0.0001754407,0.00001039035,0.00002252934,0.003055794,0.00005498897,0.04770303,0.009741242,0.0004348885,0.00005022909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963071,0.0007654857,0.000004580753,0.002600346,0.000004245106,0.00007648808,0.000001868913,4.260418e-7,0.0002394124],"genre_scores_gemma":[0.9994094,0.00008414522,0.0004048055,0.00003753704,0.0000399102,0.000001444887,1.280286e-7,2.346397e-7,0.00002240047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9283606,"threshold_uncertainty_score":0.1218132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1986764786214927,"score_gpt":0.3857451839698511,"score_spread":0.1870687053483584,"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."}}