{"id":"W4388729794","doi":"10.1111/eva.13609","title":"For the love of fish, nature and people: A tribute to Professor Louis Bernatchez (1960–2023)","year":2023,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa; Canada Research Chairs; Parks Canada; University of Toronto; Concordia University","funders":"","keywords":"Passion; Tribute; Generosity; Environmental ethics; Honor; Luck; Management; Sociology; History; Political science; Art history; Law; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001669066,0.00006820631,0.0000830475,0.00002373703,0.0003057041,0.000004427258,0.0001897729,0.00006001061,0.0002166685],"category_scores_gemma":[0.00005666792,0.00005438285,0.00002960195,0.0005316999,0.0001276502,0.00005516657,0.0003186438,0.00008672899,0.0004090524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003864019,"about_ca_system_score_gemma":0.000006295026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002721914,"about_ca_topic_score_gemma":0.0009918938,"domain_scores_codex":[0.9994107,0.00001270674,0.0001132982,0.0002065236,0.0001008937,0.0001558232],"domain_scores_gemma":[0.9994366,0.0002722345,0.00004698676,0.0001988326,0.0000156786,0.00002973182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000117488,0.00004145043,0.02503851,0.00001424881,0.00003194982,1.062611e-7,0.000241188,0.0002542535,0.000076064,0.003427015,0.9705751,0.000288372],"study_design_scores_gemma":[0.00009680657,0.00001878037,0.5705622,0.000001645637,0.00002137851,5.151847e-7,0.0002723731,0.0003697373,0.00001169295,0.003479578,0.4251201,0.00004509826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1289947,0.0003768303,0.01611612,0.8201839,0.0004654031,0.009796103,0.001298079,0.0002308314,0.02253806],"genre_scores_gemma":[0.8752728,0.0005455307,0.002413369,0.005221146,0.0001582803,0.006571169,0.0001863723,0.00002272071,0.1096087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8149627,"threshold_uncertainty_score":0.5257678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007998941362447571,"score_gpt":0.2531042377359605,"score_spread":0.2451052963735129,"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."}}