{"id":"W6891601027","doi":"10.4224/23001970","title":"Markers for drought tolerant wheat","year":2016,"lang":"en","type":"article","venue":"NPARC","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":"Drought tolerance; Drought resistance; Hybrid; Cultivar; Crop yield; Genetic diversity; Water stress","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004619941,0.0004604409,0.000466335,0.001173506,0.0002902751,0.0004464537,0.0005034023,0.0005367934,0.004152508],"category_scores_gemma":[0.0005993396,0.0003207331,0.0003382603,0.0009492203,0.0001237299,0.0004497111,0.0004166375,0.0008251405,0.001349991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665302,"about_ca_system_score_gemma":0.0002534385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008450272,"about_ca_topic_score_gemma":0.00184728,"domain_scores_codex":[0.9997836,0.00003156657,0.00002245709,0.00008786514,0.00004449308,0.00003016668],"domain_scores_gemma":[0.9995677,0.00009708646,0.0001452326,0.00004547604,0.0000564629,0.00008804209],"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":[0.0003528317,0.00009093664,0.004860396,0.0001863852,0.00003915088,0.0001531358,0.00009182624,0.000236017,0.9517927,0.0006433591,0.0008570889,0.04069619],"study_design_scores_gemma":[0.0004070591,0.001712458,0.3654947,0.000195178,0.0005290555,0.001952835,0.0003811388,0.003540661,0.5255401,0.003127462,0.09701594,0.0001033166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8845265,0.007298299,0.07685459,0.0006169197,0.0002921247,0.0005813506,0.01577683,0.001665625,0.0123878],"genre_scores_gemma":[0.8586884,0.002483523,0.09391204,0.0004472703,0.00009273527,0.0002909497,0.03166822,0.0002689699,0.01214804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004152508,"threshold_uncertainty_score":0.01389152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849911317050693,"score_gpt":0.2176177910719519,"score_spread":0.199118677901445,"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."}}