{"id":"W2028977393","doi":"10.1007/s001220000499","title":"Identification of AFLP markers linked to resistance of cowpea (Vigna unguiculata L.) to parasitism by Striga gesnerioides","year":2001,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Rockefeller Foundation","keywords":"Striga; Biology; Vigna; Amplified fragment length polymorphism; Bulked segregant analysis; Botany; Population; Genetic marker; Cultivar; Genetic distance; Molecular marker; Genetics; Gene; Genetic variation; Gene mapping; Genetic diversity; Germination","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002320267,0.0001372523,0.0002480482,0.00001362317,0.00007666263,0.00002336409,0.0002405753,0.00009486106,0.00007564732],"category_scores_gemma":[0.00002850338,0.00006611271,0.00003644626,0.0002864159,0.0003064702,0.00001397804,0.00006356238,0.00005989914,0.00001086937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006858812,"about_ca_system_score_gemma":0.000004655914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000732809,"about_ca_topic_score_gemma":0.00003259013,"domain_scores_codex":[0.9988141,0.00004078146,0.0003731529,0.0002999241,0.000231376,0.0002406479],"domain_scores_gemma":[0.999395,0.0001684143,0.00009702471,0.000103681,0.0000497596,0.0001861955],"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":[0.0002850617,0.00005314091,0.0003757167,0.00001797572,0.00001016692,0.000001766205,0.00004937223,0.00002085774,0.9447664,0.04347949,0.000995982,0.009944081],"study_design_scores_gemma":[0.0005588289,0.0004758076,0.3615472,0.000184583,0.00008752136,0.00001041598,0.0005016669,0.0001026914,0.5763238,0.03961951,0.01981349,0.0007745123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957129,0.0004486806,0.0003113956,0.0008984741,0.00002834539,0.0003095226,0.0003613395,0.00001748242,0.001911841],"genre_scores_gemma":[0.9985915,0.0004070024,0.0003662847,0.000184585,0.00004308215,0.00001463179,0.00004972269,0.000001759288,0.0003414337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3684426,"threshold_uncertainty_score":0.2695998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006139826277038722,"score_gpt":0.2123931929444658,"score_spread":0.2062533666674271,"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."}}