{"id":"W2803824785","doi":"10.19026/ajas.5.1502","title":"Interrelationship and Path Coefficient Analysis of Yield Components in F4 Progenies of Tef (<em>Eragrostis tef</em>)","year":2013,"lang":"en","type":"article","venue":"Asian Journal of Agricultural Sciences","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Panicle; Path coefficient; Eragrostis; Shoot; Path analysis (statistics); Agronomy; Mathematics; Yield (engineering); Biology; Horticulture; Statistics","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":[0.0003035444,0.0003793824,0.0002536396,0.001007978,0.0002070882,0.0002412047,0.0002378858,0.000133123,0.001410146],"category_scores_gemma":[0.0007083363,0.0001960574,0.0002930413,0.0004411331,0.0001571921,0.0001326895,0.0002821963,0.0002944609,0.0003026431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467207,"about_ca_system_score_gemma":0.0001796054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928622,"about_ca_topic_score_gemma":0.006452689,"domain_scores_codex":[0.9998018,0.00003432311,0.0000121744,0.00008605293,0.00003283556,0.00003287555],"domain_scores_gemma":[0.9993066,0.0002819672,0.0001244314,0.0000573115,0.0001146517,0.0001150622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008392672,0.0002004798,0.6122769,0.00003873642,0.0003017968,0.0006390912,0.0007262802,0.001073909,0.365062,0.0002372838,0.0001900285,0.01841416],"study_design_scores_gemma":[0.000004821054,0.0001134542,0.9955215,0.000001211566,0.00002812585,0.0001437998,0.00005968217,0.0008617307,0.003006259,0.00002456282,0.0002246347,0.00001023835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995597,0.000008246366,0.0001869173,0.000001242495,5.179063e-7,0.000001553524,0.0001596609,0.000005936191,0.00007624937],"genre_scores_gemma":[0.9969472,0.00001731905,0.0008736977,0.00000451221,0.000001107408,0.00001368253,0.001425683,0.00001875392,0.0006979892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004928622,"threshold_uncertainty_score":0.009799838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287782128612196,"score_gpt":0.2136098314660417,"score_spread":0.1707320101799198,"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."}}