{"id":"W2795934059","doi":"10.1111/1755-0998.12761","title":"Let's talk about sex: A rigorous statistical framework to assign the sex of individuals from reduced‐representation sequencing data","year":2018,"lang":"en","type":"letter","venue":"Molecular Ecology Resources","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biology; Genomics; Shotgun sequencing; Identification (biology); Evolutionary biology; Computational biology; Ecology; Data science; Genetics; DNA sequencing; Genome; Computer science; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007211292,0.0004527532,0.000771945,0.00006566478,0.0002935174,0.00009770797,0.002474733,0.0007399763,0.00484498],"category_scores_gemma":[0.001153349,0.0003633405,0.0000980802,0.0003263619,0.0009467368,0.00008654503,0.004722477,0.001198262,0.0004972677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571066,"about_ca_system_score_gemma":0.00004277617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009668369,"about_ca_topic_score_gemma":0.001169716,"domain_scores_codex":[0.9953889,0.001018059,0.0006632804,0.001343214,0.0009068068,0.0006797242],"domain_scores_gemma":[0.9960647,0.001396668,0.0004842045,0.001926841,0.0000250317,0.0001025193],"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":[0.00001765941,0.0000433054,0.0365546,0.0000467934,0.0004882174,0.0006847788,0.002100392,0.0001436027,0.001060548,0.0000156146,0.9528418,0.006002743],"study_design_scores_gemma":[0.00019387,0.000322026,0.08800559,0.0000857144,0.0003953407,0.00003274058,0.0003213846,0.0001739435,0.0009182026,0.002802145,0.906155,0.0005940251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8524884,0.0006230294,0.006818079,0.12568,0.0004579246,0.001977854,0.001885307,0.0001046908,0.009964715],"genre_scores_gemma":[0.2112153,0.0001283859,0.03836685,0.7425188,0.002830755,0.000398032,0.002372313,0.0002577511,0.001911753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6412731,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529910485092361,"score_gpt":0.2924548818445746,"score_spread":0.257155776993651,"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."}}