{"id":"W1762601300","doi":"10.5539/jas.v7n9p154","title":"Selection for High Yield and Stability among Early Maturing Greengram Genotypes","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Bank Group","keywords":"Radiata; Yield (engineering); Vigna; Biology; Selection (genetic algorithm); Genotype; Gene–environment interaction; Stability (learning theory); Biotechnology; Agronomy; Statistics; Horticulture; Mathematics; Computer science","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":[0.0010477,0.0004290407,0.000460959,0.0007799828,0.0004261843,0.0004915215,0.0003396089,0.0003088002,0.0008996363],"category_scores_gemma":[0.0005637543,0.0002153648,0.0004192459,0.0005828925,0.0002472025,0.0002041829,0.0006527643,0.0004623214,0.0002099397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000440885,"about_ca_system_score_gemma":0.0002889321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009545311,"about_ca_topic_score_gemma":0.004020706,"domain_scores_codex":[0.9993786,0.0001673143,0.00006263189,0.0001837901,0.0001176832,0.00008992677],"domain_scores_gemma":[0.9991888,0.0002335363,0.0001933478,0.00009009476,0.0001100857,0.0001841719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004347808,0.000177606,0.01328524,0.00002345068,0.00003794103,0.0002491374,0.0002745838,0.0001275664,0.9797967,0.00006437034,0.00002814342,0.005500544],"study_design_scores_gemma":[0.00007817589,0.004826715,0.7767398,0.00001432929,0.0002053498,0.001064951,0.0006041477,0.002200586,0.2114557,0.00009294265,0.00264224,0.00007491455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998717,0.00002846212,0.0009316436,0.000007749238,0.000002638359,0.00002290311,0.00007456482,0.00002394395,0.0001910449],"genre_scores_gemma":[0.9925767,0.00005944408,0.005415817,0.00002631616,0.000004005194,0.00003506967,0.0005405358,0.00005088708,0.001291257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010477,"threshold_uncertainty_score":0.005540848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237903178055148,"score_gpt":0.2077449300838383,"score_spread":0.1653658983032868,"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."}}