{"id":"W2404146022","doi":"10.5376/mpb.2016.07.0019","title":"Genetic Association Analysis and Selection Indices for Yield Attributing Traits in Available Chilli (&lt;i&gt;Capsicum annuum&lt;/i&gt; L.) Genotypes","year":2016,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capsicum annuum; Biology; Selection (genetic algorithm); Genotype; Genetics; Yield (engineering); Genetic association; Horticulture; Gene; Pepper; Single-nucleotide polymorphism","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004910235,0.0001917963,0.0002716075,0.0000612186,0.0002679764,0.000137793,0.0001414245,0.0002090028,0.00009295471],"category_scores_gemma":[0.0002523157,0.00007809759,0.0001078178,0.0006649243,0.00001465463,0.0001925225,0.00004741125,0.00009554414,0.00001189886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007300672,"about_ca_system_score_gemma":0.000007779256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688152,"about_ca_topic_score_gemma":0.005102036,"domain_scores_codex":[0.9984844,0.00007585234,0.0003067081,0.0004165904,0.0002671829,0.0004492672],"domain_scores_gemma":[0.998843,0.0006497373,0.0003004939,0.0000252125,0.0000895666,0.00009204558],"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":[0.00002427876,0.00001999805,0.05656189,0.000007893086,0.0001142749,0.000004470985,0.00004974694,0.00005011174,0.9304478,0.00003485756,0.0007917684,0.01189298],"study_design_scores_gemma":[0.0003610474,0.0003863402,0.9159325,0.00009570498,0.0004725417,0.00003275416,0.00006309763,0.001464373,0.05883765,0.0001037997,0.02170448,0.0005457502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970608,0.0007891103,0.0002826069,0.0008613472,0.00006111635,0.0002774653,0.0004026122,0.00004253664,0.0002224526],"genre_scores_gemma":[0.998371,0.0004218029,0.0004441417,0.00009387085,0.0002214361,0.0000179897,0.0001395211,0.000002060192,0.0002881776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8716101,"threshold_uncertainty_score":0.3184727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765845170992533,"score_gpt":0.1957958107844538,"score_spread":0.1781373590745285,"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."}}