{"id":"W4401496862","doi":"10.5376/pgt.2024.15.0005","title":"Marker-Assisted Selection in Cassava: From Theory to Practice","year":2024,"lang":"en","type":"article","venue":"Plant Gene and Trait","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Marker-assisted selection; Biotechnology; Computer science; Biology; Artificial intelligence; Biochemistry; Genetic marker","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052607,0.00006569386,0.00007403376,0.00001748827,0.0000555892,0.000112438,0.00005226847,0.00004488441,0.0002516267],"category_scores_gemma":[0.00007660287,0.00002577838,0.00002342479,0.0002526648,0.00001006662,0.00009594073,0.00002402216,0.000108836,0.00004350227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001816311,"about_ca_system_score_gemma":0.00001029512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097284,"about_ca_topic_score_gemma":0.008066636,"domain_scores_codex":[0.9993156,0.00009268964,0.00008699109,0.0002155109,0.0001163692,0.0001728265],"domain_scores_gemma":[0.9993589,0.0005203786,0.000008844095,0.00001369159,0.00001360951,0.00008459057],"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":[0.0001896263,0.00004127182,0.0006419193,0.000004303452,0.00002129439,0.0001322185,0.00009654341,4.062837e-7,0.6745773,0.0003292425,0.003233597,0.3207323],"study_design_scores_gemma":[0.0001427408,0.0003045789,0.5303644,0.00005156028,0.000023082,0.0002055763,0.0004834272,0.000227918,0.01103489,0.001852085,0.4551127,0.0001970313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946414,0.0006752656,0.00002249128,0.002541699,0.00006341519,0.0001087146,0.0002895226,0.00004263935,0.00161481],"genre_scores_gemma":[0.9985415,0.0001667776,0.0002024378,0.0002779457,0.0001587296,0.00001483102,0.00009217653,6.677022e-7,0.0005449502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6635424,"threshold_uncertainty_score":0.4501372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286461936982611,"score_gpt":0.2520575964005634,"score_spread":0.2291929770307372,"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."}}