{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007888126,0.0002799974,0.0001614842,0.0004755328,0.0001138207,0.0002292235,0.0003040197,0.0001515181,0.000720928],"category_scores_gemma":[0.000458841,0.00009191901,0.0002884183,0.0003190198,0.00009480888,0.0001940691,0.0002834804,0.0002439673,0.0001378312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143157,"about_ca_system_score_gemma":0.0001508997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002464706,"about_ca_topic_score_gemma":0.0003639809,"domain_scores_codex":[0.9997646,0.00005286003,0.00002116867,0.0000480817,0.00007048094,0.00004282769],"domain_scores_gemma":[0.9997723,0.00005503529,0.00004677568,0.00003379814,0.00004679719,0.00004531839],"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":[0.0002531922,0.0001662124,0.0119001,0.00007529098,0.00004241156,0.00019266,0.0001543609,0.000319381,0.9627753,0.001040775,0.00007625466,0.02300409],"study_design_scores_gemma":[0.0002871072,0.009543029,0.2174669,0.00007671305,0.0005998994,0.00290053,0.000536847,0.005827315,0.721402,0.002019749,0.03926437,0.00007549232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951984,0.0004391167,0.003177361,0.00002238712,0.000006473455,0.000033301,0.00009724059,0.00001737101,0.001008302],"genre_scores_gemma":[0.9879904,0.0009788559,0.00844355,0.00003850639,0.00001387502,0.00005904006,0.0008472104,0.00001368445,0.0016148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007888126,"threshold_uncertainty_score":0.004171669,"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."}}