{"id":"W1986072793","doi":"10.1139/g03-050","title":"A combined RFLPSSRAFLP map of tetraploid cotton based on a<i>Gossypium hirsutum</i>×<i>Gossypium barbadense</i>backcross population","year":2003,"lang":"en","type":"article","venue":"Genome","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre de Coopération Internationale en Recherche Agronomique pour le Développement","keywords":"Biology; Gossypium barbadense; Restriction fragment length polymorphism; Genetics; Backcrossing; Amplified fragment length polymorphism; Locus (genetics); Genetic linkage; Gene mapping; Gossypium; Population; Mendelian inheritance; Linkage (software); Gossypium hirsutum; Genetic linkage map; Quantitative trait locus; Chromosome; Botany; Gene; Genotype; Genetic diversity","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":[0.0001000828,0.0003192861,0.0002721313,0.00085822,0.0002472708,0.0002249459,0.0001813171,0.0001018259,0.001188572],"category_scores_gemma":[0.0001356364,0.0001342828,0.0002490406,0.0005609217,0.00007625263,0.00009395432,0.0001776658,0.0002186747,0.0003340887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357443,"about_ca_system_score_gemma":0.0003022847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007337427,"about_ca_topic_score_gemma":0.01104561,"domain_scores_codex":[0.9998857,0.000010026,0.000008168048,0.00005165911,0.00002685,0.00001758208],"domain_scores_gemma":[0.9998862,0.0000136672,0.00002619459,0.0000122832,0.00002531613,0.00003633268],"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":[0.0003962378,0.00003819738,0.009528682,0.00007303483,0.00003695384,0.0002008474,0.0001057473,0.0003235921,0.9676274,0.00006252013,0.00004929851,0.02155749],"study_design_scores_gemma":[0.0001449142,0.001506097,0.8483761,0.00005366353,0.0005099881,0.001790315,0.0002082721,0.003153681,0.134283,0.0002871237,0.009635622,0.00005134366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950688,0.0002331251,0.002882535,0.00001218511,0.000004355978,0.00002583128,0.0009399775,0.00005960072,0.0007736266],"genre_scores_gemma":[0.9768831,0.0003483461,0.01370698,0.00001348312,0.000008717804,0.00004897019,0.006862678,0.00002800824,0.002099784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007337427,"threshold_uncertainty_score":0.01458943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307170139393545,"score_gpt":0.242329002295858,"score_spread":0.2192573009019226,"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."}}