{"id":"W4406380790","doi":"10.1016/j.jglr.2024.102506","title":"Spatial genetic structure of upper Great Lakes burbot (Lota lota)","year":2025,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"California Department of Fish and Wildlife; Michigan Department of Natural Resources; Wisconsin Department of Natural Resources; U.S. Geological Survey; Michigan State University","keywords":"Fishery; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000267002,0.0001465064,0.0001878234,0.0016431,0.0005602028,0.000446767,0.000393733,0.0003071302,0.001411095],"category_scores_gemma":[0.0006181075,0.0001991605,0.0001817176,0.001058991,0.0006740331,0.0002262408,0.0007400079,0.0002379359,0.0001600713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008589931,"about_ca_system_score_gemma":0.0003659713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03409398,"about_ca_topic_score_gemma":0.107707,"domain_scores_codex":[0.9997961,0.00004776476,0.00001230626,0.00008423672,0.00002375607,0.00003591656],"domain_scores_gemma":[0.9992981,0.0001291499,0.0002641063,0.00004560804,0.0001063835,0.0001566749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004264141,0.0001077551,0.9456395,0.00003631669,0.0001873831,0.0001383647,0.003485664,0.0003227596,0.04343363,0.0003875428,0.0002216993,0.005612942],"study_design_scores_gemma":[0.000004293244,0.00002395406,0.9991871,0.00000321068,0.0000124083,0.00003222047,0.0003303705,0.0002096853,0.00008402346,0.0000284788,0.00008142955,0.000002758462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997849,0.00001514003,0.00003580009,0.00000639108,5.11715e-7,0.000001103373,0.0000451425,0.000001241591,0.0001099438],"genre_scores_gemma":[0.9996569,0.000008872136,0.00007288188,0.00001085357,6.470581e-7,0.000004454745,0.00008534598,0.000001329941,0.0001587012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.965906,"threshold_uncertainty_score":0.06779104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122745359822757,"score_gpt":0.3041770064273314,"score_spread":0.2829495528291038,"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."}}