{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005375232,0.0006211444,0.001082617,0.001680019,0.0003353505,0.002396766,0.001522765,0.001345539,0.000780659],"category_scores_gemma":[0.007416902,0.0003232984,0.0004720634,0.002184921,0.002177341,0.001394592,0.0009997254,0.001710785,0.0004268971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412344,"about_ca_system_score_gemma":0.001627392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00247377,"about_ca_topic_score_gemma":0.00230891,"domain_scores_codex":[0.9978684,0.0009968005,0.0001906487,0.0004028651,0.0004956816,0.00004550988],"domain_scores_gemma":[0.9960926,0.002833201,0.000259945,0.0002959713,0.0004452943,0.00007293603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001706979,0.0001154116,0.008670792,0.006791712,0.0003547045,0.0007495719,0.0009500623,0.01066508,0.009946018,0.07049962,0.004079938,0.8870063],"study_design_scores_gemma":[0.00011825,0.001519552,0.0167283,0.01564155,0.0008680694,0.002717883,0.001846476,0.04678526,0.02423435,0.2446851,0.6444787,0.0003764654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01479681,0.7870039,0.1744975,0.01119906,0.0006450166,0.000107053,0.000136205,0.0003054069,0.01130913],"genre_scores_gemma":[0.1533676,0.6912185,0.1491721,0.002512882,0.0007516451,0.0001905699,0.0001860401,0.00008800482,0.002512691],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005375232,"threshold_uncertainty_score":0.0284273,"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."}}