{"id":"W2518810800","doi":"10.1111/1755-0998.12597","title":"<i>parallelnewhybrid</i>: an R package for the parallelization of hybrid detection using <scp>newhybrids</scp>","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Inheritance (genetic algorithm); Biology; Set (abstract data type); Computer science; R package; Identification (biology); Locus (genetics); Data mining; Gene; Genetics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008586651,0.005240375,0.003938959,0.00314791,0.001689565,0.004124777,0.006595174,0.001517752,0.06286605],"category_scores_gemma":[0.02633328,0.00354997,0.005839169,0.002194037,0.002483461,0.002846701,0.005630474,0.007162649,0.04090699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360759,"about_ca_system_score_gemma":0.003655691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004867175,"about_ca_topic_score_gemma":0.005797626,"domain_scores_codex":[0.9952347,0.001619759,0.000397886,0.001034218,0.001337836,0.0003756864],"domain_scores_gemma":[0.9839779,0.01083367,0.00139415,0.001848121,0.001430464,0.0005158389],"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":[0.00190715,0.0003202515,0.009269524,0.005716158,0.003643438,0.001178082,0.001194612,0.02231424,0.02820899,0.02121295,0.7847511,0.1202836],"study_design_scores_gemma":[0.00190414,0.0004583633,0.01447871,0.0009016112,0.001377885,0.001503912,0.0002984366,0.2142235,0.07924611,0.05154225,0.6327415,0.001323517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003583566,0.0004686822,0.4802408,0.0005776063,0.0003582226,0.0006443879,0.03142955,0.4793785,0.003318775],"genre_scores_gemma":[0.03501365,0.0005319928,0.6155136,0.00122702,0.000190724,0.005808248,0.04000863,0.2958184,0.005887781],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06286605,"threshold_uncertainty_score":0.210308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237122059716611,"score_gpt":0.2350462092539547,"score_spread":0.2226749886567886,"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."}}