{"id":"W4220973956","doi":"10.3389/fpls.2022.845524","title":"Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids","year":2022,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Foreign, Commonwealth and Development Office; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Bill and Melinda Gates Foundation","keywords":"Artificial intelligence; Machine learning; Computer science; Convolutional neural network; Context (archaeology); Multilayer perceptron; Hyperparameter; Pattern recognition (psychology); Support vector machine; Perceptron; Feature selection; Regression; Selection (genetic algorithm); Artificial neural network; Mathematics; Statistics; Biology","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":[0.001110678,0.0004388512,0.0003708751,0.000548605,0.0003412192,0.0005826415,0.0007732026,0.001178839,0.0006329821],"category_scores_gemma":[0.003144075,0.0001140721,0.0004787096,0.0008674333,0.0004563257,0.0005355426,0.0004392044,0.0004833826,0.0002251747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007343958,"about_ca_system_score_gemma":0.000321664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067864,"about_ca_topic_score_gemma":0.008654563,"domain_scores_codex":[0.9995013,0.0001714796,0.0000249569,0.0001385005,0.0001096877,0.00005404816],"domain_scores_gemma":[0.9979165,0.001504628,0.0001380467,0.0001726525,0.0002171978,0.00005097261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001298432,0.0006511157,0.097328,0.0004721885,0.000261491,0.005829899,0.001121117,0.6750199,0.05057447,0.004029816,0.003456233,0.1599574],"study_design_scores_gemma":[0.00002932058,0.0003403341,0.04274203,0.00001957293,0.0000490194,0.0006334281,0.0004990746,0.9130954,0.03682856,0.003241201,0.002474658,0.00004752864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980878,0.0001592141,0.01717342,0.0001900499,0.000008740084,0.00002715204,0.0005308763,0.0002694011,0.0007630438],"genre_scores_gemma":[0.982857,0.00005050559,0.01589954,0.0000246378,0.000006394647,0.00001745633,0.000621033,0.00002542052,0.0004979788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01067864,"threshold_uncertainty_score":0.02123296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007287136242245154,"score_gpt":0.2221406698724138,"score_spread":0.2148535336301687,"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."}}