{"id":"W4394500506","doi":"10.6084/m9.figshare.22006988","title":"Atlantic cod SNP dataset","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlantic cod; SNP; Fishery; Biology; Single-nucleotide polymorphism; Fish <Actinopterygii>; Genetics; Gene; Genotype; Gadus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199674,0.00123238,0.001320724,0.002132477,0.001717584,0.001875398,0.002401935,0.001431265,0.06419385],"category_scores_gemma":[0.004387333,0.0007245906,0.0008969312,0.005293535,0.0003856604,0.0006670722,0.001628942,0.001732304,0.06392404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305882,"about_ca_system_score_gemma":0.003835441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07913508,"about_ca_topic_score_gemma":0.1515772,"domain_scores_codex":[0.9991211,0.00008461771,0.0001272682,0.0003579211,0.0001678292,0.0001412277],"domain_scores_gemma":[0.9981449,0.0004062784,0.0001933041,0.0004168635,0.0006088292,0.0002298409],"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":[0.0002383838,0.0000424887,0.00616949,0.0006760726,0.0001010306,0.00009627295,0.00006684551,0.000284174,0.0005785138,0.0009625437,0.9848894,0.005894968],"study_design_scores_gemma":[0.0004937762,0.0000310163,0.0329091,0.0004392874,0.0001038782,0.0001221723,0.0001478568,0.0003503004,0.0006244479,0.001813656,0.9629048,0.00005966172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000423006,0.00003265207,0.00007467601,0.00004162554,0.0000200617,0.00001099537,0.9985144,0.00007077339,0.0008118626],"genre_scores_gemma":[0.0005623897,0.00002750062,0.0003460393,0.00005267523,0.000004788572,0.00008611604,0.9980306,0.00006024748,0.0008296217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07913508,"threshold_uncertainty_score":0.2147498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690557886973033,"score_gpt":0.2593091062687197,"score_spread":0.2024035273989893,"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."}}