{"id":"W375241660","doi":"","title":"Microarray-assisted Marker Development for Molecular Breeding","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Molecular marker; Biology; Computational biology; Genetics; Gene","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":[0.001439908,0.000992929,0.001611215,0.001260983,0.0005766063,0.0009590545,0.001860971,0.00105219,0.006448249],"category_scores_gemma":[0.001623189,0.001270788,0.001391525,0.001473032,0.0004168881,0.001083652,0.0008016836,0.003318622,0.005007188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009970983,"about_ca_system_score_gemma":0.0005842321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009844932,"about_ca_topic_score_gemma":0.002535929,"domain_scores_codex":[0.9985479,0.000334342,0.00009795908,0.000343282,0.0005422236,0.0001343329],"domain_scores_gemma":[0.9991399,0.0003172487,0.0001184586,0.000217404,0.0001378075,0.00006910398],"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":[0.0001728949,0.00008260985,0.0003610608,0.000265574,0.00005370095,0.00006834165,0.00003824334,0.0007303471,0.933826,0.00332049,0.004351505,0.05672929],"study_design_scores_gemma":[0.00007006562,0.0002645157,0.00381765,0.00006062691,0.0001506183,0.0004647369,0.00003578346,0.0181389,0.8900802,0.002597116,0.08423337,0.00008637291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02701809,0.002168402,0.9476421,0.0006842637,0.0005950578,0.000636455,0.005398724,0.009166826,0.006689949],"genre_scores_gemma":[0.07374365,0.003284306,0.8949706,0.0005024779,0.0001442619,0.001447967,0.01030389,0.001316512,0.01428635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006448249,"threshold_uncertainty_score":0.02157152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408557551642891,"score_gpt":0.256501057655725,"score_spread":0.242415482139296,"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."}}