{"id":"W2389997190","doi":"","title":"Path Analysis of Yield Per Plant and Its Components of Durum Wheat with Different Sources","year":2008,"lang":"en","type":"article","venue":"Nongye xiandaihua yanjiu","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path coefficient; Yield (engineering); Path analysis (statistics); Positive correlation; Grain yield; Agronomy; Negative correlation; Correlation coefficient; Correlation; Mathematics; Horticulture; Biology; Statistics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006961777,0.0001625702,0.0003354333,0.00004733724,0.0001436179,0.000007821761,0.0001839247,0.00004617759,0.001528189],"category_scores_gemma":[0.000004220817,0.00008546538,0.0000827262,0.0002989214,0.0003842666,0.000155882,0.0001475271,0.00006882333,0.00001821668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597649,"about_ca_system_score_gemma":0.000001907591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005028824,"about_ca_topic_score_gemma":0.000364324,"domain_scores_codex":[0.9987193,0.00002468332,0.0002281367,0.0002973855,0.0005155331,0.0002149337],"domain_scores_gemma":[0.9995616,0.00004987173,0.0001365016,0.0001219092,0.000004469361,0.0001256314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003241867,0.0001406514,0.84229,0.000008801238,0.00007951569,0.000005477304,0.0008499132,0.0002457911,0.1559961,0.000004657983,0.0000581618,0.0002885397],"study_design_scores_gemma":[0.0001979672,0.0001812822,0.9689176,0.00002681868,0.0001283549,0.00001340111,0.0001919298,0.0003564692,0.02966436,0.000003076915,0.0001751508,0.0001435552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980456,0.0001214239,0.000007848463,0.0001391136,0.00002120462,0.0001157449,0.00005991943,0.00000707315,0.001482035],"genre_scores_gemma":[0.9990606,0.0001751966,0.00006875796,0.00003125684,0.000009258391,0.000004120224,0.00002165785,0.000003847299,0.0006252544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1266276,"threshold_uncertainty_score":0.9993845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276142440506179,"score_gpt":0.1709081853347034,"score_spread":0.1581467609296416,"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."}}