{"id":"W4293052934","doi":"10.1111/fme.12572","title":"Thirteen novel ideas and underutilised resources to support progress towards a range‐wide American eel stock assessment","year":2022,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Queen's University; University of British Columbia; Université Laval; Fisheries and Oceans Canada","funders":"","keywords":"Stock assessment; Stock (firearms); Fishery; Habitat; Range (aeronautics); Geography; Ecology; Fishing; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.07045953,0.00173286,0.001890043,0.009168995,0.002090154,0.01759975,0.007620918,0.00310827,0.01623693],"category_scores_gemma":[0.1410071,0.001324565,0.001224007,0.008295477,0.004795968,0.02358409,0.01313967,0.005458439,0.005884814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004349269,"about_ca_system_score_gemma":0.02225404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785192,"about_ca_topic_score_gemma":0.01435918,"domain_scores_codex":[0.9744328,0.01527959,0.002305987,0.002165442,0.004786734,0.001029404],"domain_scores_gemma":[0.8326471,0.06783289,0.01050544,0.03044299,0.05073145,0.007840105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005171009,0.0004156645,0.01881195,0.002893048,0.0004128528,0.0004783265,0.002234792,0.0119417,0.003212643,0.1279328,0.1035864,0.7275627],"study_design_scores_gemma":[0.0002238058,0.0004596133,0.008843531,0.01086991,0.000366236,0.0006913263,0.006394211,0.05048176,0.004647842,0.3373355,0.5791835,0.0005028612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04320704,0.0482462,0.4752645,0.3732859,0.007542482,0.0008825841,0.009486339,0.007336786,0.03474805],"genre_scores_gemma":[0.1348417,0.02094665,0.8127874,0.0125097,0.002959568,0.001307372,0.007446597,0.0009123926,0.006288588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07045953,"threshold_uncertainty_score":0.3726301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012670022120045,"score_gpt":0.2393661799849318,"score_spread":0.2266961578648868,"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."}}