{"id":"W4399207756","doi":"10.1093/conphys/coae034","title":"Using vitality indicators to predict survival of aquatic animals released from fisheries","year":2024,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; InStream Fisheries Research (Canada); Fisheries and Oceans Canada; Carleton University; University of British Columbia; Trent University; Ocean Tracking Network; Dalhousie University","funders":"Fisheries and Oceans Canada","keywords":"Biology; Vitality; Fishery; Aquatic animal; Ecology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002683164,0.00048278,0.0003361217,0.003626183,0.0001750125,0.0010146,0.0004162383,0.0004736206,0.001140535],"category_scores_gemma":[0.007852422,0.0001329778,0.0007296646,0.002094835,0.0003084421,0.001163992,0.0005846164,0.0005070309,0.0003156261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819351,"about_ca_system_score_gemma":0.0004073014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727448,"about_ca_topic_score_gemma":0.004630265,"domain_scores_codex":[0.9994698,0.0001823261,0.000103417,0.0001031954,0.0001012263,0.00004003367],"domain_scores_gemma":[0.9946153,0.002957329,0.001499855,0.000146624,0.0006646836,0.0001162507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001395264,0.0001014054,0.8142387,0.0007716109,0.0004909761,0.000154459,0.0004363974,0.008324765,0.002344191,0.001296411,0.001531023,0.1701706],"study_design_scores_gemma":[0.00001372584,0.0006278759,0.9540352,0.0007192747,0.0004785594,0.0003771535,0.0008018579,0.02547945,0.003180443,0.003941697,0.0102529,0.00009192881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938656,0.01948717,0.06769096,0.0009667673,0.0002398202,0.0001729853,0.005897448,0.0002786831,0.01140043],"genre_scores_gemma":[0.9690347,0.006705214,0.01869844,0.0001272838,0.0001076087,0.0001215861,0.003611864,0.00002055585,0.001572717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003626183,"threshold_uncertainty_score":0.01419008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275177509919754,"score_gpt":0.2640736957749975,"score_spread":0.2313219206758,"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."}}