{"id":"W1565943153","doi":"","title":"SNP/Tiling Arrays for Genotyping, Mapping, and QTL Candidate Gene Identification","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genetics; Genotyping; SNP genotyping; Biology; Quantitative trait locus; SNP; Identification (biology); Candidate gene; Inclusive composite interval mapping; Gene; Computational biology; Single-nucleotide polymorphism; Family-based QTL mapping; Gene mapping; Genotype; Chromosome","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":[0.002683237,0.0005676721,0.001727778,0.001587926,0.0007384747,0.0008828815,0.00126106,0.0008597297,0.008733132],"category_scores_gemma":[0.00393803,0.0009206144,0.001221604,0.002080462,0.0005901901,0.0009028595,0.0008604385,0.002619641,0.004415904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951759,"about_ca_system_score_gemma":0.0007730438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458642,"about_ca_topic_score_gemma":0.004590792,"domain_scores_codex":[0.9970737,0.0008000807,0.0002096388,0.0009172817,0.0007891405,0.0002102054],"domain_scores_gemma":[0.9976291,0.0009135375,0.0002561071,0.0007824391,0.000294712,0.0001242487],"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":[0.0005591617,0.0002143642,0.004050195,0.0005363675,0.0002986476,0.0001185926,0.0001215387,0.004535333,0.7600145,0.00931907,0.0172341,0.2029981],"study_design_scores_gemma":[0.0005559121,0.0007387991,0.03415146,0.0001950899,0.0007999481,0.001225919,0.0001635363,0.09757614,0.6999602,0.03424359,0.1301521,0.0002373786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04257694,0.001865265,0.9221606,0.0006015059,0.0005730574,0.0004914041,0.01455325,0.008321211,0.00885681],"genre_scores_gemma":[0.05660588,0.000667222,0.927601,0.0006631588,0.0001598775,0.0007792217,0.008525871,0.0005553244,0.004442432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008733132,"threshold_uncertainty_score":0.02921522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978882996929459,"score_gpt":0.2562714114391575,"score_spread":0.236482581469863,"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."}}