{"id":"W155840646","doi":"10.1007/978-1-4020-6635-1_56","title":"In Vitro Selection and Molecular Markers for Early Screening of Fusarium Head Blight Resistance Wheat","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Germplasm; Cultivar; Introgression; Biology; Selection (genetic algorithm); Resistance (ecology); Horticulture; Marker-assisted selection; Biotechnology; Agronomy; Genetics; Genetic marker; Gene; Computer science","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":[0.0003130808,0.0005621762,0.0004582773,0.0004043361,0.000176135,0.0005328509,0.0006535987,0.0003809015,0.001610731],"category_scores_gemma":[0.000271631,0.0005293238,0.0004817321,0.000501729,0.0001966058,0.0003429572,0.0004486824,0.001159637,0.002883346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302569,"about_ca_system_score_gemma":0.0001216205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004961154,"about_ca_topic_score_gemma":0.001362881,"domain_scores_codex":[0.9997069,0.00006980862,0.00002785656,0.00004704677,0.000112686,0.00003561927],"domain_scores_gemma":[0.9998405,0.00007633409,0.00002340199,0.00002774365,0.00001970358,0.00001236536],"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":[0.0000181688,0.00001903583,0.0000580592,0.00002833419,0.000002076134,0.0000279775,0.00001661338,0.00008680944,0.9943286,0.0001037803,0.0001407744,0.00516981],"study_design_scores_gemma":[0.000003334485,0.00008683804,0.001030146,0.00001094139,0.00002301227,0.0001694691,0.00001839455,0.0003242814,0.9859534,0.0001290686,0.01224529,0.000005913079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4942171,0.03577955,0.4097305,0.0009866061,0.001325168,0.0005429318,0.006209014,0.002180633,0.04902847],"genre_scores_gemma":[0.6411096,0.03833982,0.1808734,0.0006473457,0.0002847668,0.0005318617,0.01625128,0.001061373,0.1209006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001610731,"threshold_uncertainty_score":0.005388439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043661668510225,"score_gpt":0.227030629684929,"score_spread":0.2065940129998268,"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."}}