{"id":"W2363551555","doi":"","title":"Study on Breeding of Barley \"Minmai 06","year":2003,"lang":"en","type":"article","venue":"Guangdong nongye kexue","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Powdery mildew; Agronomy; New Variety; Biology; Yield (engineering); Selection (genetic algorithm); Cultivar; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003319971,0.0001660363,0.0002275042,0.00002789414,0.0001136659,0.00004344268,0.0002939646,0.00007542778,0.000217223],"category_scores_gemma":[0.0001293715,0.00006332582,0.00007747779,0.00029152,0.00004870756,0.00009026938,0.00005060366,0.0001239565,0.0001410911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001643328,"about_ca_system_score_gemma":0.00000805325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002375059,"about_ca_topic_score_gemma":0.0006036912,"domain_scores_codex":[0.9986747,0.0001736153,0.000240338,0.0003050935,0.0003007168,0.0003055235],"domain_scores_gemma":[0.9994065,0.000271336,0.00008399281,0.0001016723,0.00004680657,0.00008970178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001473044,0.0008466307,0.5972733,0.00001030408,0.00005903102,0.0001501671,0.000611488,0.00001379999,0.3856227,0.000732053,0.001934308,0.01259882],"study_design_scores_gemma":[0.0003851269,0.001138687,0.9262111,0.00004296084,0.00001913704,0.00003040702,0.001402907,0.000003502813,0.05988965,0.00009515868,0.01051738,0.0002639593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912975,0.00002993789,0.000001454743,0.0001106075,0.0001512094,0.0002665493,0.00006626386,0.00005369835,0.008022765],"genre_scores_gemma":[0.9985908,0.000003098129,0.0000350153,0.00006406336,0.00008398278,0.00001453003,0.00001912675,0.000001350017,0.001188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3289378,"threshold_uncertainty_score":0.2582352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189697738819789,"score_gpt":0.2421799515083473,"score_spread":0.2002829741201494,"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."}}