{"id":"W6944336082","doi":"10.17895/ices.pub.21762842.v1","title":"Working Group on American Eel (WGAMEEL; outputs from 2022 meeting)","year":2023,"lang":"en","type":"report","venue":"Figshare","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abundance (ecology); Stock (firearms); Indigenous; Habitat; Data series; Stock assessment; Listing (finance)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005052896,0.001328963,0.001739426,0.0008960406,0.0002886333,0.0003945496,0.001584162,0.0007313312,0.150225],"category_scores_gemma":[0.01245206,0.001431579,0.0008126797,0.002062489,0.000040673,0.0001071281,0.001276875,0.002459585,0.3096275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213418,"about_ca_system_score_gemma":0.001054446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044278,"about_ca_topic_score_gemma":0.002567605,"domain_scores_codex":[0.9908434,0.0003154512,0.001090706,0.00229268,0.004049165,0.001408589],"domain_scores_gemma":[0.9931569,0.001021549,0.002678272,0.002134711,0.0005557507,0.0004528816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003306585,0.00007233372,0.0002546572,0.0002260909,0.000356779,0.0009646087,0.0001158016,0.00002162812,0.00004278043,6.912624e-7,0.9819706,0.01594093],"study_design_scores_gemma":[0.0002374365,0.0001118347,0.01029958,0.03828606,0.0001282124,0.0000144517,0.00009293537,0.00003511348,0.00005731558,0.00001747059,0.9492984,0.001421179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001600268,0.003339203,9.369003e-8,0.00004077507,0.001763716,0.0008557425,0.8473337,0.002639415,0.1438674],"genre_scores_gemma":[0.01075376,0.0001450265,0.00007243113,0.0002239975,0.006043709,0.001429186,0.9567038,0.001989717,0.02263839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1594025,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363347568414403,"score_gpt":0.3671863435622268,"score_spread":0.1308515867207865,"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."}}