{"id":"W4394132483","doi":"10.6084/m9.figshare.12982439","title":"Genotypic and phenotypic data for GWAS","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada","keywords":"Genome-wide association study; Phenotype; Computational biology; Genotype; Genetics; Biology; Single-nucleotide polymorphism; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001674322,0.001265512,0.001119238,0.002228233,0.0014883,0.001128351,0.00183316,0.000975679,0.05265919],"category_scores_gemma":[0.004362459,0.0004141835,0.0009960074,0.003798326,0.0003639783,0.0003024663,0.0008662909,0.001177316,0.01518068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687643,"about_ca_system_score_gemma":0.004278184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.142939,"about_ca_topic_score_gemma":0.2882015,"domain_scores_codex":[0.9984739,0.0001562091,0.0001334893,0.0004951917,0.0005749031,0.0001662506],"domain_scores_gemma":[0.997277,0.0003313852,0.0002375854,0.0009481088,0.0009464705,0.0002596378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002450029,0.0007517275,0.1619885,0.002202355,0.001133393,0.003386093,0.001640611,0.002405973,0.05445399,0.007023754,0.5267799,0.2357837],"study_design_scores_gemma":[0.0003734468,0.0002452527,0.3457189,0.0004009738,0.0002465197,0.0008912093,0.0003185062,0.0009690948,0.003199798,0.001545293,0.6459641,0.0001269471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04547926,0.0004203337,0.014617,0.0004212479,0.0002083871,0.002533339,0.916036,0.0008975436,0.01938692],"genre_scores_gemma":[0.07662559,0.0005472334,0.03053555,0.0009223213,0.0001206533,0.00634051,0.8528441,0.001027189,0.03103676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.142939,"threshold_uncertainty_score":0.284214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577613329382689,"score_gpt":0.2727648295250282,"score_spread":0.2369886962312013,"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."}}