{"id":"W4405747380","doi":"10.5539/jsd.v18n1p48","title":"Quantitative and Qualitative Potential of Peanuts Produced in Northwestern Paraná, Brazil","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Estadual de Maringá; Empresa Brasileira de Pesquisa Agropecuária; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cultivar; Randomized block design; Productivity; Biology; Horticulture; Genotype; Agronomy","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":[0.001502841,0.0001078602,0.0002577667,0.0001006566,0.00007861424,0.00006198117,0.0001278667,0.0000311687,0.00001542443],"category_scores_gemma":[0.000174289,0.00004174207,0.00004417728,0.0004170623,0.0000800645,0.0002903228,0.0001096144,0.0001727244,5.278895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086095,"about_ca_system_score_gemma":0.0001437197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186472,"about_ca_topic_score_gemma":0.0001404273,"domain_scores_codex":[0.9985698,0.0001512612,0.0004624068,0.0001525551,0.000379495,0.0002844905],"domain_scores_gemma":[0.9990588,0.000337029,0.0001415628,0.00001801049,0.0003764918,0.00006809043],"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":[0.003070061,0.001234558,0.07494898,0.003525771,0.001414603,0.01520468,0.3745725,0.0001589114,0.375148,0.008144954,0.003907475,0.1386695],"study_design_scores_gemma":[0.000497409,0.001021156,0.6726188,0.0005945908,0.00002114424,0.00009850331,0.3037397,0.00004619213,0.009568222,0.002165859,0.009338981,0.0002894515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958987,0.002603019,0.00001290384,0.001170564,0.00005447992,0.0001674311,0.000005853472,0.000006048231,0.00008102413],"genre_scores_gemma":[0.9986855,0.0003467053,0.0004102486,0.00001345521,0.00003992773,0.000005688605,0.00001020253,4.305515e-7,0.0004878177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5976698,"threshold_uncertainty_score":0.1702192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812848597174758,"score_gpt":0.3155283726968245,"score_spread":0.2873998867250769,"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."}}