{"id":"W4225319169","doi":"10.1073/pnas.2202184119","title":"Biotechnology can help us save the genetic heritage of salmon and other aquatic species","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ecology; Biology; Biosphere; Microbial population biology; Community; Phylogenetic tree; Community structure; Geography; Habitat; Bacteria; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033529,0.0005773082,0.0003538135,0.0005722212,0.001104185,0.003176982,0.0006210556,0.002443939,0.04089274],"category_scores_gemma":[0.004130181,0.0001452932,0.0004619631,0.0007569974,0.001818314,0.003350063,0.001749587,0.002212103,0.01354401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201743,"about_ca_system_score_gemma":0.003804411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078731,"about_ca_topic_score_gemma":0.007269478,"domain_scores_codex":[0.9995523,0.0001004584,0.00002462836,0.00007043843,0.0001549668,0.00009713932],"domain_scores_gemma":[0.9980095,0.0003681501,0.0002466712,0.0003423988,0.0004765774,0.000556767],"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":[0.0001844129,0.0002909053,0.005147657,0.0007204643,0.0001657948,0.0003850583,0.0005314276,0.0004822542,0.01931783,0.06491366,0.5534879,0.3543726],"study_design_scores_gemma":[0.00001614039,0.00007689144,0.002220746,0.0002420377,0.00006058224,0.0001945833,0.000473077,0.00008217517,0.002439748,0.02532234,0.9688506,0.00002113658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0292274,0.06408798,0.01848231,0.543213,0.03454242,0.00007863522,0.003748878,0.002320641,0.3042988],"genre_scores_gemma":[0.3163973,0.2056806,0.07518368,0.1394722,0.01076818,0.0001415948,0.007766,0.001050831,0.2435397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04089274,"threshold_uncertainty_score":0.1367999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237653418567206,"score_gpt":0.2367843213492938,"score_spread":0.2144077871636217,"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."}}