{"id":"W4251867287","doi":"10.17485/ijst/2010/v3i1.21","title":"Genetic hybridization among genotypes of Taro (Colocasia esculanta) and recurrent selection for leaf blight resistance","year":2010,"lang":"en","type":"article","venue":"Indian Journal of Science and Technology","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Biology; Cultivar; Diallel cross; Horticulture; Genotype; Population; Colocasia esculenta; Breeding program; Blight; Agronomy; Veterinary medicine; Botany; Hybrid; Gene; Medicine; Genetics","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":[0.0001945898,0.0003525386,0.0002445485,0.0007250566,0.0002323388,0.000224627,0.000235458,0.0002630481,0.001758422],"category_scores_gemma":[0.0002269239,0.0001625176,0.0002494363,0.0003048881,0.0001675163,0.00009415246,0.0003144952,0.000280327,0.0003341677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968689,"about_ca_system_score_gemma":0.0001560701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706596,"about_ca_topic_score_gemma":0.004717057,"domain_scores_codex":[0.9997923,0.00003138949,0.00001347059,0.00006980247,0.0000367078,0.00005636642],"domain_scores_gemma":[0.9997659,0.00004388697,0.00005067716,0.0000336987,0.00002424808,0.00008164497],"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":[0.0003492267,0.00008739788,0.003767977,0.00001918433,0.00001571011,0.0002146715,0.0001104951,0.00004401856,0.9934535,0.00005956307,0.00003136389,0.001846811],"study_design_scores_gemma":[0.0002672743,0.003876617,0.7872928,0.00003354514,0.0002690842,0.003084841,0.000739703,0.002358445,0.1922508,0.0001619195,0.009580154,0.0000847199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987171,0.00004521395,0.0004028178,0.00001133005,0.000005939383,0.00002239013,0.0001171195,0.00002420399,0.0006540295],"genre_scores_gemma":[0.9933088,0.000096616,0.001827938,0.00006154784,0.000006730077,0.00006457347,0.00119329,0.00004716328,0.003393322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001758422,"threshold_uncertainty_score":0.005882502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006926770790974114,"score_gpt":0.2576475346700138,"score_spread":0.2507207638790397,"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."}}