{"id":"W2006957731","doi":"10.1590/s1413-70542011000600009","title":"Early selection of full-sib potato families","year":2011,"lang":"en","type":"article","venue":"Ciência e Agrotecnologia","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Selection (genetic algorithm); Solanum tuberosum; Biology; Randomized block design; Genetic gain; Clonal selection; Biotechnology; Horticulture; Genetics; Genetic variation; Computer science; Machine learning","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":[0.000996432,0.0003615163,0.0005080466,0.000330352,0.0002854597,0.0002803676,0.0005211192,0.0002405465,0.002179396],"category_scores_gemma":[0.0009172038,0.000196221,0.0003215015,0.0002311687,0.0001312058,0.0002455038,0.0006664454,0.0005879576,0.000476049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002146375,"about_ca_system_score_gemma":0.0003169257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005165632,"about_ca_topic_score_gemma":0.001705537,"domain_scores_codex":[0.9994118,0.0001823597,0.00003413242,0.000151149,0.0001546679,0.00006601475],"domain_scores_gemma":[0.9986381,0.0004670017,0.0001563771,0.0002252561,0.0002377414,0.0002755007],"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":[0.0006979508,0.0003098242,0.009518872,0.0001448341,0.00007558448,0.000136375,0.0002343373,0.0006119775,0.9320604,0.00017196,0.0001839572,0.05585397],"study_design_scores_gemma":[0.0002904131,0.007671858,0.5476089,0.0001167255,0.000428582,0.002276584,0.0003742409,0.01062725,0.4093702,0.0007362006,0.02038014,0.0001189736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791383,0.0004758307,0.01823715,0.00002536891,0.00001417493,0.0001294414,0.0001323731,0.0001296915,0.001717638],"genre_scores_gemma":[0.9564399,0.0003855316,0.03804188,0.00008630187,0.00002008872,0.0002702568,0.000701633,0.0000833106,0.003971189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002179396,"threshold_uncertainty_score":0.007290781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185405509906629,"score_gpt":0.1860985141346908,"score_spread":0.1642444590356245,"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."}}