{"id":"W2353609078","doi":"","title":"Study on Application Potential of Innovative Maize Inbred Lines","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diallel cross; Heterosis; Inbred strain; Grain yield; Agronomy; Biology; Cultivar; Trait; Breed; Yield (engineering); Mathematics; Gene; Hybrid; Animal science; Genetics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001189347,0.00006789219,0.0000838682,0.00001978823,0.00007692194,0.000001723203,0.0000881092,0.00003364458,0.0001057568],"category_scores_gemma":[0.00001316333,0.00006232376,0.00001927992,0.0002395631,0.0001530841,0.00006877253,0.00005730281,0.00005882552,0.0003794043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005166438,"about_ca_system_score_gemma":0.000002632938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905231,"about_ca_topic_score_gemma":0.00001606468,"domain_scores_codex":[0.9993201,0.00005256745,0.0001658207,0.00015481,0.0002211141,0.00008561887],"domain_scores_gemma":[0.9997174,0.00001712995,0.00008224684,0.0001573542,0.000003264859,0.00002258295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001290216,0.001181418,0.6418095,0.000003234043,0.00001733444,0.000005690601,0.003016587,0.001350202,0.3505166,0.0001472079,0.0002150645,0.001608167],"study_design_scores_gemma":[0.0003885327,0.0002066084,0.9838835,0.000001661601,0.000003296453,0.000002361184,0.0004667419,0.00006594939,0.01460886,0.000131859,0.0001742157,0.00006641988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960458,0.000002314692,0.0007078785,0.0001247927,0.0000366019,0.0002841994,0.000007394251,0.0000163653,0.002774605],"genre_scores_gemma":[0.9992957,0.00000301457,0.0001656924,0.0001619862,0.00002517924,0.00001539607,0.00001123808,0.000005100876,0.0003166604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.342074,"threshold_uncertainty_score":0.4876601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042758881639642,"score_gpt":0.2566522317747127,"score_spread":0.2362246429583163,"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."}}