{"id":"W2017227559","doi":"10.1111/1755-0998.12327","title":"Design of a 9K illumina BeadChip for polar bears (<i><scp>U</scp>rsus maritimus</i>) from <scp>RAD</scp> and transcriptome sequencing","year":2014,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Environment Canada; World Wildlife Fund","keywords":"Biology; Genetics; Single-nucleotide polymorphism; SNP genotyping; Microsatellite; SNP; Population; Genotyping; Linkage disequilibrium; De novo transcriptome assembly; Illumina dye sequencing; SNP array; Evolutionary biology; Transcriptome; DNA sequencing; Genotype; Gene; Allele","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005565648,0.0004244211,0.0005250808,0.0003485786,0.0005813417,0.0004503036,0.0005584711,0.000345151,0.004734811],"category_scores_gemma":[0.0003908648,0.0004705247,0.0005627807,0.0004626613,0.000304453,0.0001478076,0.0005115248,0.0004806941,0.001835379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607111,"about_ca_system_score_gemma":0.0008064967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128698,"about_ca_topic_score_gemma":0.01203867,"domain_scores_codex":[0.9989772,0.0001183675,0.00004681245,0.0004712404,0.0002575033,0.0001289862],"domain_scores_gemma":[0.9997796,0.00004106453,0.00002956932,0.00005310062,0.00005842918,0.00003826511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008085403,0.0001777444,0.01303553,0.0001669963,0.0001657561,0.0000757583,0.0001949355,0.002193418,0.9513357,0.001033121,0.003532325,0.02728016],"study_design_scores_gemma":[0.0004864623,0.002190296,0.2646319,0.00005054209,0.0005853426,0.0005822596,0.0001757113,0.03475948,0.558202,0.001607968,0.1365674,0.0001605909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6343746,0.0007034382,0.3120089,0.0004500946,0.0004236457,0.003076148,0.03170684,0.002528026,0.01472838],"genre_scores_gemma":[0.3892277,0.0004957222,0.5048427,0.002002592,0.0001478604,0.01135379,0.05622539,0.0005651276,0.03513907],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004734811,"threshold_uncertainty_score":0.01583952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343050062976742,"score_gpt":0.2083738223341047,"score_spread":0.1949433217043373,"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."}}