{"id":"W4394340663","doi":"10.6084/m9.figshare.21542133","title":"Additional file 1 of Construction of an SNP fingerprinting database and population genetic analysis of 329 cauliflower cultivars","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cultivar; Database; DNA profiling; Population; Biology; SNP; Biotechnology; Computer science; Horticulture; Genetics; Single-nucleotide polymorphism; Genotype; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001313114,0.001325858,0.001500989,0.002535965,0.0008953285,0.001635956,0.002142984,0.001545834,0.4290586],"category_scores_gemma":[0.007062608,0.0006168269,0.0007791154,0.005019085,0.0003857825,0.0011622,0.001307702,0.001206402,0.1158443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116229,"about_ca_system_score_gemma":0.001914969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073791,"about_ca_topic_score_gemma":0.02017774,"domain_scores_codex":[0.9993193,0.00007949507,0.00009663497,0.0002658725,0.0001266221,0.0001120468],"domain_scores_gemma":[0.9956408,0.002456438,0.0003975313,0.0005237251,0.0006961813,0.0002853446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000267536,0.0001056562,0.003574763,0.002713952,0.00007403491,0.00007676403,0.00006897443,0.0005951019,0.0006579374,0.0008487338,0.9862247,0.00479181],"study_design_scores_gemma":[0.001853859,0.0001022747,0.02362115,0.0009744081,0.0001804145,0.0002190611,0.0001967499,0.0009963267,0.001363894,0.004343368,0.9660632,0.00008539977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009320076,0.000007868372,0.00005299178,0.00001124138,0.000003369228,0.0000085718,0.9995419,0.00008535439,0.0001954266],"genre_scores_gemma":[0.0007988597,0.0000223039,0.000536964,0.00004431846,0.00000436301,0.0001466669,0.9976126,0.0001249832,0.0007089966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4290586,"threshold_uncertainty_score":0.8143786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119174683346196,"score_gpt":0.2739496608306423,"score_spread":0.2527579139971803,"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."}}