{"id":"W4405056929","doi":"10.1101/2024.12.01.626233","title":"Monitoring for fisheries or for fish? Declines in monitoring of salmon spawners continue despite a conservation crisis","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fishery; Fish <Actinopterygii>; Business; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006660052,0.0002166824,0.0003701573,0.001237834,0.0008633009,0.002428915,0.0007311563,0.0006715222,0.007559602],"category_scores_gemma":[0.02076911,0.0001342553,0.0001625311,0.002790785,0.001028697,0.002023895,0.0009303883,0.0009483936,0.001223729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003189125,"about_ca_system_score_gemma":0.006347764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3743342,"about_ca_topic_score_gemma":0.5066871,"domain_scores_codex":[0.9977574,0.000476657,0.0001220374,0.0003417415,0.001009762,0.0002923747],"domain_scores_gemma":[0.9833381,0.002459432,0.003125339,0.001270829,0.008114565,0.001691876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008290612,0.00004721034,0.6399029,0.0003144534,0.00008108044,0.00008864873,0.001791174,0.000444004,0.001494242,0.001210004,0.1096786,0.2448648],"study_design_scores_gemma":[0.00001023214,0.00004296477,0.9237742,0.0005921568,0.00004908551,0.00009260163,0.005052699,0.001077052,0.0008688326,0.002185148,0.06622077,0.00003423454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6340368,0.0107671,0.008395634,0.2540206,0.001235082,0.0001308522,0.0175377,0.001354291,0.07252189],"genre_scores_gemma":[0.9579918,0.004827459,0.007261649,0.009337164,0.0004459581,0.00009631683,0.004680539,0.0001719473,0.01518718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3743342,"threshold_uncertainty_score":0.7443107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675434694548005,"score_gpt":0.2532633528279867,"score_spread":0.2265090058825067,"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."}}