{"id":"W2021622266","doi":"10.2135/cropsci2014.02.0113","title":"Genotypic Association of Parameters Commonly Used to Predict Canning Quality of Dry Bean","year":2014,"lang":"en","type":"article","venue":"Crop Science","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Lethbridge College; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Phaseolus; Dry bean; Biology; Selection (genetic algorithm); Breeding program; Genotype; Genetic variation; Coefficient of variation; Gene–environment interaction; Biotechnology; Agronomy; Cultivar; Statistics; Mathematics; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000673357,0.0002333516,0.0003238839,0.0008089106,0.0002332773,0.0005609179,0.0002284481,0.0002161583,0.0008295113],"category_scores_gemma":[0.001225375,0.00009450316,0.0003495674,0.0009679252,0.0002675489,0.0001347971,0.000213374,0.0002674369,0.0001456451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147893,"about_ca_system_score_gemma":0.0006173551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08714623,"about_ca_topic_score_gemma":0.2373164,"domain_scores_codex":[0.9994155,0.00008255094,0.00004658371,0.0002416069,0.0001459682,0.00006784326],"domain_scores_gemma":[0.9984567,0.000367602,0.0004847134,0.0002091958,0.0002954035,0.0001863488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004516962,0.00003842604,0.9605162,0.00002850556,0.0002673148,0.00004724452,0.00008877274,0.0008818887,0.03358664,0.00003972897,0.0001792752,0.003874297],"study_design_scores_gemma":[0.000001105968,0.00001528157,0.9992247,8.628891e-7,0.00001131802,0.000008730293,0.00001464092,0.0003282708,0.0003050948,0.000005985326,0.00008198837,0.000002034854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965527,0.0001130674,0.0006842507,0.000006496492,0.000001955529,0.000006789494,0.002280313,0.00002461635,0.0003297293],"genre_scores_gemma":[0.9967625,0.00002403318,0.000390726,0.000005571621,8.013342e-7,0.000006120717,0.002504311,0.0000154139,0.0002904856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08714623,"threshold_uncertainty_score":0.173278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495714933522486,"score_gpt":0.2539414961963904,"score_spread":0.2189843468611655,"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."}}