{"id":"W6948491475","doi":"10.5061/dryad.r4xgxd2br","title":"RADseq data for Atlantic Halibut in the Northwest Atlantic","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland; Parks Canada; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"","keywords":"Halibut; Genetic diversity; Population; Demographic history; Genome; Nucleotide diversity; Genomics; Population genetics; Genetic structure","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002921896,0.0006343298,0.001024859,0.0002205951,0.0002077098,0.001676272,0.012902,0.0003887789,0.003749541],"category_scores_gemma":[0.0009043495,0.0004758936,0.0001233451,0.0007729427,0.0001413577,0.0005733173,0.004051899,0.0007883687,0.01582846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145177,"about_ca_system_score_gemma":0.0009447135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02884678,"about_ca_topic_score_gemma":0.4051136,"domain_scores_codex":[0.9954427,0.0005469604,0.0008035155,0.001728893,0.0006769642,0.0008009557],"domain_scores_gemma":[0.9907812,0.0008655791,0.0004960896,0.007643279,0.00009837692,0.0001154832],"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":[0.000091808,0.0003385496,0.0006279651,0.0001157088,0.0001364642,0.0007909904,0.00006260644,0.000003175916,0.00001075558,9.520568e-7,0.9972817,0.0005392857],"study_design_scores_gemma":[0.001306049,0.00004990043,0.0005421904,0.0004601447,0.0005989025,0.0002029068,0.0002161696,0.00006968041,0.000007698101,0.000006385888,0.995899,0.0006410367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003292364,0.0002266345,0.000002163105,0.0002721625,0.0003544083,0.003305213,0.9923769,0.000002116108,0.0001680061],"genre_scores_gemma":[0.0001949467,0.0001014135,0.0008296579,0.0001387811,0.0004407757,0.0002181301,0.9976783,0.0001173832,0.0002806011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3762668,"threshold_uncertainty_score":0.9997693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154150345597652,"score_gpt":0.3689226377433916,"score_spread":0.2535076031836264,"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."}}