{"id":"W7100798851","doi":"","title":"1 Molecular marker analysis of Lr34 in Canada Western Red","year":2015,"lang":"en","type":"article","venue":"","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Rust (programming language); Microsatellite; Plant disease resistance; Population; Allele; Resistance (ecology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832152,0.0002440673,0.0002143408,0.00194345,0.001026759,0.0004130866,0.0004550293,0.000191052,0.001400093],"category_scores_gemma":[0.0003701204,0.000164009,0.000206603,0.002329117,0.0002130185,0.00009492476,0.0002678539,0.0002604868,0.0005242039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002780005,"about_ca_system_score_gemma":0.002410316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7065172,"about_ca_topic_score_gemma":0.8710382,"domain_scores_codex":[0.9996934,0.000008752883,0.00001464502,0.0000875172,0.0001322171,0.00006353794],"domain_scores_gemma":[0.9994286,0.00002074351,0.00009216829,0.0000245925,0.0003482017,0.00008556198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003549055,0.0001185887,0.137958,0.00009244421,0.00006956208,0.0007044669,0.002201977,0.0003298651,0.81034,0.0003747411,0.001289281,0.04616618],"study_design_scores_gemma":[0.00001220784,0.0001830413,0.9524786,0.00002323143,0.00005328062,0.0004905612,0.0007324105,0.0004079866,0.0261718,0.00003081811,0.0193924,0.00002378697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911417,0.0003758207,0.001120439,0.00004922643,0.00001035812,0.00007457928,0.003924999,0.00005124297,0.00325168],"genre_scores_gemma":[0.9628177,0.0005936917,0.007709753,0.0001348214,0.000006349192,0.00007308221,0.01456895,0.00005341799,0.01404225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934828,"threshold_uncertainty_score":0.5904223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081326790172421,"score_gpt":0.2080513380600218,"score_spread":0.1872380701582976,"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."}}