{"id":"W3098431434","doi":"10.5539/jas.v12n12p114","title":"Different Substrates and Container Volumes in the Emergence and Ministumps Formation of Physalis peruviana L.","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo","keywords":"Physalis; Horticulture; Volume (thermodynamics); Container (type theory); Greenhouse; Completely randomized design; Mathematics; Shoot; Factorial experiment; Fractional factorial design; Botany; Chemistry; Biology; Materials science; Physics; Composite material; Statistics","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":[0.0001803795,0.00005029076,0.0001507247,0.00002043106,0.00002946229,0.00001326087,0.00008379335,0.00001293691,0.000002881518],"category_scores_gemma":[0.0001356801,0.00001915034,0.00002059468,0.0001881307,0.0001527572,0.0002243288,0.00001439929,0.0000971335,1.088369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008721805,"about_ca_system_score_gemma":0.00001953475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001073823,"about_ca_topic_score_gemma":0.000007586677,"domain_scores_codex":[0.9993384,0.00001071882,0.0002064835,0.00005822035,0.0002998481,0.0000862755],"domain_scores_gemma":[0.9995916,0.00003238049,0.0001371266,0.00002321502,0.0001087771,0.0001068391],"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":[0.00004890139,0.0000311573,0.02371845,0.00005801225,0.000003461043,0.000009707244,0.00409505,8.058593e-7,0.9704386,0.00003557749,0.000714733,0.0008455199],"study_design_scores_gemma":[0.0003458559,0.0003718169,0.94515,0.0001198188,0.0000217832,0.0002997272,0.006499014,0.0001088395,0.04699725,0.00001923725,0.00003607957,0.00003058026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930237,0.0005391647,0.000003977964,0.006236892,0.00002283273,0.00007348405,0.000001157416,0.000001030363,0.00009779381],"genre_scores_gemma":[0.9993695,0.0002734551,0.00004005908,0.0002484231,0.00006284205,4.399873e-7,5.582349e-7,5.906136e-7,0.000004143846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234414,"threshold_uncertainty_score":0.07809282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060845039906913,"score_gpt":0.2584897528503612,"score_spread":0.2378813024512921,"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."}}