{"id":"W4229573527","doi":"10.1007/s11032-018-0835-9","title":"Correction to: Identification of main effect and epistatic quantitative trait loci for morphological and yield-related traits in peanut (Arachis hypogaea L.)","year":2018,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Arachis hypogaea; Epistasis; Trait; Identification (biology); Yield (engineering); Biology; Horticulture; Botany; Computer science; Genetics; Physics; Gene","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":[0.0007726075,0.00009979324,0.0001856482,0.00004121972,0.000115588,0.00003578276,0.00007559438,0.00005035348,0.000009125392],"category_scores_gemma":[0.001391393,0.00004751977,0.00003706193,0.0002637077,0.0001432515,0.00006649675,0.0000499953,0.00008271535,5.54299e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159269,"about_ca_system_score_gemma":0.000002712485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001765294,"about_ca_topic_score_gemma":0.000293044,"domain_scores_codex":[0.9990667,0.0001024536,0.0002278131,0.0002696214,0.000133102,0.000200388],"domain_scores_gemma":[0.9989693,0.0008246251,0.00007264569,0.00002051688,0.00005655178,0.00005638548],"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":[0.00009287384,0.00002112448,0.001501992,0.0000207202,0.00001364298,0.000009447825,0.0003403333,0.000003680447,0.9784167,0.0001944009,0.0002822677,0.01910277],"study_design_scores_gemma":[0.0005460707,0.004232433,0.8762344,0.000182001,0.00003340878,0.00005161755,0.001033644,0.005092152,0.1108862,0.001378359,0.00007140849,0.0002583299],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980716,0.0001318733,0.0006378982,0.0004332595,0.00005924983,0.0004707556,0.00005315876,0.00001596406,0.0001262093],"genre_scores_gemma":[0.9995255,0.000014522,0.0002719057,0.00003067551,0.00002121637,0.00003587804,0.00004099926,5.812112e-7,0.00005864564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8747324,"threshold_uncertainty_score":0.19378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716193256177891,"score_gpt":0.2780943226377984,"score_spread":0.2509323900760195,"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."}}