{"id":"W6931050842","doi":"10.5281/zenodo.3541407","title":"POLYGENE: population genetics analyses for autopolyploids based on allelic phenotypes","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inbreeding; Polygene; Allele; Linkage disequilibrium; Population; Genetic diversity; Genotype; Loss of heterozygosity; Population genetics","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":[0.001273173,0.001190432,0.0006111198,0.002663297,0.0004241046,0.0007156405,0.000820659,0.0002233618,0.01229457],"category_scores_gemma":[0.002466261,0.0003281904,0.0007187805,0.001269438,0.0002933119,0.0007146727,0.0008485265,0.0005435093,0.001604082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003851395,"about_ca_system_score_gemma":0.0003958053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003470531,"about_ca_topic_score_gemma":0.003909842,"domain_scores_codex":[0.9995216,0.0001399321,0.00004171547,0.0001651275,0.0001078426,0.00002379312],"domain_scores_gemma":[0.9991481,0.0004964255,0.0001439537,0.0000923548,0.00007915278,0.00003990351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008614263,0.0002508341,0.08849668,0.001113362,0.001434916,0.001117969,0.0008774353,0.04412846,0.1121785,0.05700313,0.03785714,0.6546801],"study_design_scores_gemma":[0.0002628007,0.0002958069,0.2335272,0.0002605928,0.0006924293,0.002732747,0.0001419803,0.5060955,0.07127658,0.07484885,0.1095498,0.0003157415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06261089,0.0003738892,0.9025622,0.00009207585,0.00004283759,0.0001050637,0.01252401,0.01744184,0.004247197],"genre_scores_gemma":[0.282615,0.0006369146,0.6631407,0.00009495734,0.00005896598,0.0005029501,0.03483127,0.008864455,0.009254869],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01229457,"threshold_uncertainty_score":0.04112941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09947881838035087,"score_gpt":0.3307664917437311,"score_spread":0.2312876733633802,"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."}}