{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005957655,0.00009854235,0.0001951281,0.0001626745,0.0004356057,0.00003109184,0.0001910512,0.00003071189,0.00007730374],"category_scores_gemma":[0.0001036251,0.0000504991,0.0001149621,0.001226318,0.00001188916,0.00004075493,0.0001292643,0.0001452526,0.00000179905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328562,"about_ca_system_score_gemma":0.000009902623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006802785,"about_ca_topic_score_gemma":0.0002378814,"domain_scores_codex":[0.9987026,0.0001595064,0.0001944899,0.0002426429,0.0004830734,0.0002177061],"domain_scores_gemma":[0.9994756,0.0002665096,0.0001216104,0.00005053477,0.00004471623,0.00004101551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003963148,0.00003467644,0.001056814,0.000005205183,0.0001597673,0.00002482998,0.00008017627,0.02703005,0.9703658,0.00002219888,0.00002264415,0.001158161],"study_design_scores_gemma":[0.0001873997,0.0006034613,0.1007535,0.00002405856,0.0002958657,0.00001102658,0.0004383709,0.6600767,0.2364241,0.00003423744,0.0008731828,0.0002780845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998797,0.0000420933,0.0001822926,0.0001691599,0.00005085658,0.0001224545,0.0003857549,0.00007078794,0.0001795863],"genre_scores_gemma":[0.9995191,0.00000685127,0.0001258185,0.00008443982,0.00003480726,0.00002643044,0.0001931043,0.000001091915,0.000008412727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7339418,"threshold_uncertainty_score":0.3350371,"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."}}