{"id":"W3009457122","doi":"10.1111/faf.12452","title":"The highs and lows of herring: A meta‐analysis of patterns and factors in herring collapse and recovery","year":2020,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Herring; Clupea; Biomass (ecology); Fishery; Atlantic herring; Fish stock; Biology; Ecology; Fish <Actinopterygii>","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":[0.006591573,0.001125658,0.003126128,0.003675889,0.0005751106,0.001783082,0.001353281,0.001104964,0.002476694],"category_scores_gemma":[0.008708412,0.0007564173,0.01331787,0.004792478,0.0004303835,0.001226614,0.001201114,0.001398343,0.0001901586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004557673,"about_ca_system_score_gemma":0.0005891316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007076392,"about_ca_topic_score_gemma":0.01071722,"domain_scores_codex":[0.9957896,0.001753198,0.0005312839,0.001413731,0.0002741581,0.0002379198],"domain_scores_gemma":[0.9919594,0.005643374,0.0009402561,0.000807227,0.0003149906,0.0003347741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001735564,0.00007142232,0.7236755,0.004796983,0.2513025,0.0004011914,0.0003295896,0.001807724,0.001239878,0.0002252558,0.001220863,0.01319354],"study_design_scores_gemma":[0.0001836276,0.0005404965,0.7616072,0.001306486,0.2216762,0.0005909154,0.001075044,0.009012472,0.0005796654,0.001082657,0.002242042,0.0001031142],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625087,0.1253223,0.004630943,0.0008171275,0.0001792541,0.0000695877,0.005581414,0.0001340291,0.0007566713],"genre_scores_gemma":[0.9928993,0.00407043,0.001328429,0.0001144491,0.00002711299,0.00004658535,0.001339621,0.0000317793,0.0001424035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007076392,"threshold_uncertainty_score":0.03486001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686969691280357,"score_gpt":0.231447969368933,"score_spread":0.1945782724561294,"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."}}