{"id":"W4386899423","doi":"10.54265/iiev1053","title":"Farinha alimentícia do resíduo da amora preta: propriedades tecnológicas e nutricionais","year":2023,"lang":"pt","type":"article","venue":"","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003392217,0.0004340382,0.0004297276,0.0003322664,0.0003502001,0.0007284929,0.0001977474,0.0004490099,0.00152619],"category_scores_gemma":[0.0002797119,0.0001984334,0.0005564322,0.0002465679,0.0002793654,0.0004032837,0.0003338502,0.0003854271,0.0003453923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247194,"about_ca_system_score_gemma":0.000337871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426457,"about_ca_topic_score_gemma":0.002633658,"domain_scores_codex":[0.9997568,0.00003580128,0.00001429484,0.00006104015,0.00007970716,0.00005242315],"domain_scores_gemma":[0.9998265,0.00003424401,0.00004056162,0.00001677862,0.00004992682,0.00003203167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001589139,0.00002971952,0.001209863,0.00009443997,0.000007363789,0.00004895571,0.00009404011,0.00005100327,0.9947405,0.00003406388,0.000008652907,0.003522481],"study_design_scores_gemma":[0.000005688093,0.001085626,0.01738694,0.00002209707,0.00003003299,0.0002465434,0.0001680216,0.0004197949,0.9779235,0.00004807215,0.002652248,0.00001141463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961532,0.001079795,0.001458811,0.00002251167,0.00001231547,0.00002273853,0.00006008588,0.00001871709,0.001171712],"genre_scores_gemma":[0.9911436,0.0007863875,0.003540909,0.00002870337,0.00001014657,0.00002414886,0.0001097975,0.00001498188,0.004341281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00152619,"threshold_uncertainty_score":0.005105555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05739092326585764,"score_gpt":0.2653312794743594,"score_spread":0.2079403562085017,"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."}}