{"id":"W2580554448","doi":"10.1101/096065","title":"Sex matters in Massive Parallel Sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Fisheries and Oceans Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Nunavut Wildlife Management Board; Fisheries and Oceans Canada; Universiteit Antwerpen","keywords":"Arctic char; Homarus; American lobster; Sex ratio; Panmixia; Biology; Salvelinus; Population; Statistics; Evolutionary biology; Genetic structure; Ecology; Demography; Fishery; Genetics; Genetic variation; Gene; Mathematics","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":[0.01986446,0.0004525244,0.0004952826,0.0008550496,0.0007062915,0.001195695,0.0008876954,0.0006583137,0.000913549],"category_scores_gemma":[0.05194072,0.000347886,0.00059288,0.001153318,0.001458776,0.000741649,0.0009065717,0.001008395,0.0002224868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004923703,"about_ca_system_score_gemma":0.0006099895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710837,"about_ca_topic_score_gemma":0.003017819,"domain_scores_codex":[0.9882751,0.007024566,0.0005720171,0.001709948,0.002132829,0.0002856092],"domain_scores_gemma":[0.9602819,0.02417503,0.006433502,0.005684172,0.002899719,0.0005256745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007163712,0.00009997595,0.779619,0.0003836932,0.001268896,0.0005662557,0.002429001,0.01228051,0.0770124,0.01042293,0.001752211,0.1134487],"study_design_scores_gemma":[0.00007767212,0.0004151631,0.7817524,0.0001895659,0.0006223167,0.001696721,0.0006686557,0.09667692,0.07106037,0.03473683,0.01196187,0.0001414979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601241,0.001293798,0.1341552,0.0008366922,0.0001465568,0.00006220971,0.0005320084,0.0003935383,0.002455865],"genre_scores_gemma":[0.9706223,0.0001508039,0.02773205,0.0004904206,0.00004934227,0.00004593017,0.0003489546,0.0001073111,0.0004529489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01986446,"threshold_uncertainty_score":0.1050546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326527700812621,"score_gpt":0.2700231312256412,"score_spread":0.216757854217515,"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."}}