{"id":"W4226191089","doi":"10.5376/mpb.2022.13.0009","title":"Genomic Variation Detection Analysis of 3 Self-pruning Tomato Lines Based on Resequencing","year":2022,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hebei Provincial Key Research Projects; Natural Science Foundation of Hebei Province; Hebei Normal University; Hebei Normal University of Science and Technology","keywords":"Biology; Inflorescence; Indel; Genetics; Gene; Genome; KEGG; Pruning; Locus (genetics); Candidate gene; Genetic variation; Single-nucleotide polymorphism; Botany; Genotype","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":[0.0003031656,0.000405937,0.0003866896,0.00128766,0.0002571405,0.000215468,0.0002166312,0.0003414856,0.001092291],"category_scores_gemma":[0.0003952782,0.0001802037,0.000778803,0.0005326068,0.0001970875,0.00009086641,0.0002343545,0.0003303227,0.0002347132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475732,"about_ca_system_score_gemma":0.0001595192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072616,"about_ca_topic_score_gemma":0.002494775,"domain_scores_codex":[0.9997166,0.00002667079,0.00002766175,0.0001209568,0.00007304086,0.00003510058],"domain_scores_gemma":[0.9997732,0.00007202454,0.00005729388,0.00002381927,0.00003522409,0.00003831175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008465203,0.00003150021,0.004701375,0.00003587515,0.00003722444,0.0003417027,0.0001551311,0.00008741792,0.9924095,0.00004919805,0.00002781268,0.002038585],"study_design_scores_gemma":[0.00007919928,0.0005901773,0.7590562,0.00003148851,0.0002793406,0.002494483,0.0002767678,0.002371216,0.2308634,0.0001509467,0.003750343,0.00005645776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952593,0.0001521815,0.002298842,0.00001588157,0.000006974314,0.00007938531,0.001545636,0.00003867175,0.0006030574],"genre_scores_gemma":[0.9845734,0.0001539928,0.006799194,0.00008689243,0.000006127219,0.0001199171,0.006861356,0.00005393586,0.001345167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128766,"threshold_uncertainty_score":0.003654063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127222836181796,"score_gpt":0.2328694315959056,"score_spread":0.2015972032340876,"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."}}