{"id":"W2944291209","doi":"10.5539/jas.v11n7p14","title":"Non-destructive Method for Estimating the Leaf Area of Pear cv. ‘Triunfo’","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":5,"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":"PEAR; Mathematics; Mean squared error; Degree (music); Mean absolute error; Statistics; Coefficient of determination; Horticulture; Botany; Geometry; Biology; Physics","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":[0.0005754884,0.0004427284,0.0003797073,0.0009788227,0.000213912,0.0003976213,0.0005928247,0.0003669894,0.0009046036],"category_scores_gemma":[0.0004844215,0.0002134505,0.0002772242,0.0007378665,0.0001694948,0.0004493838,0.0002014049,0.0005289218,0.0003690663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164087,"about_ca_system_score_gemma":0.0001720083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403564,"about_ca_topic_score_gemma":0.004285104,"domain_scores_codex":[0.9993891,0.00006432583,0.00002930594,0.0002030344,0.0003022744,0.0000120523],"domain_scores_gemma":[0.9996661,0.00009471888,0.00006557695,0.00003587582,0.0001201217,0.000017663],"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":[0.00006411256,0.000119506,0.03243551,0.000392248,0.00008318427,0.0001853514,0.0003537105,0.001283362,0.888036,0.0004970763,0.0004026687,0.07614723],"study_design_scores_gemma":[0.00004184552,0.001072123,0.640786,0.00008467865,0.0002033306,0.003080802,0.0006914847,0.05424085,0.284635,0.001290904,0.01375418,0.0001188643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7959849,0.003820247,0.1905452,0.00008431073,0.00006543827,0.0002843987,0.00129115,0.0005984741,0.007325874],"genre_scores_gemma":[0.8427622,0.001110501,0.1469931,0.0001258119,0.00002283706,0.0005725717,0.001893302,0.00009097391,0.006428805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403564,"threshold_uncertainty_score":0.003043473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315029147563249,"score_gpt":0.2566085414462876,"score_spread":0.2234582499706551,"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."}}