{"id":"W2992499706","doi":"10.3354/aei00346","title":"Model-based evaluation of the genetic impacts of farm-escaped Atlantic salmon on wild populations","year":2019,"lang":"en","type":"article","venue":"Aquaculture Environment Interactions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; National Oceanic and Atmospheric Administration","keywords":"Biological dispersal; Salmo; Aquaculture; Fishery; Population; Biology; Ecology; Fish <Actinopterygii>; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001634235,0.000130892,0.0001449486,0.00003557561,0.0001282314,0.000004767738,0.0001778184,0.00005040029,0.002741902],"category_scores_gemma":[0.0000385401,0.00009138911,0.0001041163,0.0001083168,0.000111161,0.00008901756,0.0001049783,0.0001283002,0.0003498508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959544,"about_ca_system_score_gemma":0.000006935861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105538,"about_ca_topic_score_gemma":0.001219659,"domain_scores_codex":[0.9988482,0.000108422,0.0002526259,0.0002217632,0.0004287979,0.0001401857],"domain_scores_gemma":[0.9993083,0.00004786479,0.0002299278,0.0003796674,0.000008257603,0.00002591453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001972514,0.0003032387,0.3528464,0.000009345872,0.00004262018,9.45603e-8,0.0002551887,0.6323682,0.009548569,0.000152826,0.004258243,0.0001956114],"study_design_scores_gemma":[0.0004372296,0.00007479198,0.9100859,0.00003130549,0.0002027554,6.427442e-7,0.0001329862,0.08553572,0.00124652,0.0003368097,0.001810058,0.0001052412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878541,0.000008770717,0.0003681393,0.001174738,0.0001825085,0.0006838256,0.00001118178,0.000009938123,0.00970683],"genre_scores_gemma":[0.9980965,0.00001319456,0.0005023153,0.0003234422,0.000009281645,0.00004628018,0.00002077615,0.000008939613,0.0009792706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5572396,"threshold_uncertainty_score":0.9981697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260778391943268,"score_gpt":0.2749166046263377,"score_spread":0.252308820706905,"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."}}