{"id":"W6929751570","doi":"10.5061/dryad.2bc7c","title":"Data from: Cross-platform compatibility of de novo-aligned SNPs in a non-model butterfly genus","year":2017,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Genotyping; Phylogenetic tree; SNP; Locus (genetics); SNP genotyping; DNA sequencing","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":[],"consensus_categories":[],"category_scores_codex":[0.001358753,0.0008716073,0.0006316114,0.002235308,0.0006181001,0.000878687,0.001202161,0.0007798906,0.004895384],"category_scores_gemma":[0.003512206,0.0002723399,0.000854011,0.001997581,0.0005180232,0.0006076938,0.001445072,0.0007915443,0.003784377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008021073,"about_ca_system_score_gemma":0.001385275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119785,"about_ca_topic_score_gemma":0.0258558,"domain_scores_codex":[0.9992149,0.0001247897,0.00009566689,0.0002966819,0.000166024,0.0001019384],"domain_scores_gemma":[0.9988618,0.0003172896,0.0001688495,0.0003409355,0.0002090303,0.0001021253],"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":[0.004285169,0.0004772912,0.2366888,0.008173261,0.002322275,0.001759245,0.001848541,0.01722507,0.04172657,0.005530353,0.5894306,0.09053278],"study_design_scores_gemma":[0.0005958115,0.0001251655,0.2321873,0.0003612653,0.0003656165,0.0007462888,0.0004819202,0.004789469,0.009228704,0.002156005,0.7488459,0.0001167209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06267019,0.0003993428,0.001675982,0.0001280446,0.00005139763,0.00006921177,0.9315844,0.001207616,0.002213799],"genre_scores_gemma":[0.01710625,0.00008131027,0.002162208,0.00003223393,0.000005438028,0.00008702513,0.9798788,0.0001260768,0.0005208041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01119785,"threshold_uncertainty_score":0.02226537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386402088028367,"score_gpt":0.3361472761121952,"score_spread":0.3022832552319115,"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."}}