{"id":"W2953305988","doi":"10.5539/jas.v11n9p299","title":"Estimation Leaf Area by Composite Leaves of Canavalia rosea Seedlings Through Linear Dimensions From Last Leaflet","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Mathematics; Mean squared error; Leaf area index; Horticulture; Leaflet (botany); Botany; Square (algebra); Geometry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004931162,0.0005295438,0.0003176102,0.0005212106,0.000134598,0.0004923825,0.0005500792,0.0002999965,0.0007358554],"category_scores_gemma":[0.001375571,0.0002915632,0.0007994054,0.0002776117,0.0001680085,0.0004178006,0.0003031782,0.0003619239,0.0004766456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005223401,"about_ca_system_score_gemma":0.0002880759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006051086,"about_ca_topic_score_gemma":0.009062793,"domain_scores_codex":[0.9997897,0.00004324151,0.000008936293,0.00009959781,0.00004303257,0.00001550911],"domain_scores_gemma":[0.9995829,0.0002384356,0.00007141448,0.00004322519,0.00004640085,0.00001772102],"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":[0.0004446263,0.0002475741,0.2931487,0.0006696042,0.0003978898,0.0004255346,0.0007996889,0.2672681,0.3021629,0.002968797,0.0004781731,0.1309885],"study_design_scores_gemma":[0.00001724627,0.0002266608,0.2075256,0.00002906434,0.00009427702,0.0003454562,0.0001635288,0.7642363,0.02318464,0.001810629,0.002294202,0.00007246553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624844,0.000786529,0.2325488,0.00006561419,0.00001337458,0.00007962839,0.0006028817,0.0004160389,0.003002833],"genre_scores_gemma":[0.9593301,0.0002679428,0.03846092,0.00001474494,0.00000404915,0.00009070721,0.0005531474,0.00005398074,0.001224483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006051086,"threshold_uncertainty_score":0.01203173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253484505042876,"score_gpt":0.2215384089206259,"score_spread":0.1990035638701971,"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."}}