{"id":"W2996214362","doi":"10.35984/fjh.v1i4.94","title":"PESQUISA DE CONSUMO DE BATATAS PROCESSADAS E DESENVOLVIMENTO E ANÁLISE SENSORIAL DE BATATA FUNCIONAL PRÉ ASSADA","year":2019,"lang":"pt","type":"article","venue":"FAG JOURNAL OF HEALTH (FJH)","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"","keywords":"Food science; Chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004818394,0.0004838225,0.0009006242,0.00007280634,0.0008022282,0.0003489385,0.001218,0.0003175171,0.001564737],"category_scores_gemma":[0.0003267579,0.0002032739,0.0003617491,0.0007641693,0.0002548939,0.0008305094,0.0002069116,0.0009613711,0.0001888448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006966143,"about_ca_system_score_gemma":0.001589679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009592426,"about_ca_topic_score_gemma":0.0004559158,"domain_scores_codex":[0.9938805,0.0009654543,0.00144923,0.0005797803,0.001401669,0.00172335],"domain_scores_gemma":[0.9957105,0.0006928886,0.001607033,0.0001431486,0.0005790765,0.001267353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00238739,0.0023065,0.2850314,0.001084281,0.0004383692,0.0005113883,0.009007723,0.0006630335,0.07577443,0.001400586,0.5562192,0.06517567],"study_design_scores_gemma":[0.003421418,0.01021199,0.631609,0.001629303,0.0001824534,0.003975829,0.02362862,0.0008989548,0.001928714,0.002385654,0.318475,0.001653107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594722,0.01196576,0.00005894225,0.02536268,0.002012619,0.0005414372,0.0002890872,0.0000323532,0.0002649125],"genre_scores_gemma":[0.9894029,0.001975833,0.0008836161,0.002568938,0.002751505,0.000006394283,0.00006912468,0.000006341601,0.002335361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465775,"threshold_uncertainty_score":0.999348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607315567290113,"score_gpt":0.284843001179425,"score_spread":0.2487698455065238,"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."}}