{"id":"W1542935613","doi":"10.1111/j.1752-4571.2009.00080.x","title":"SYNTHESIS: Life history change in commercially exploited fish stocks: an analysis of trends across studies","year":2009,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":369,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fishing; Biology; Fish stock; Maturity (psychological); Life history; Fish <Actinopterygii>; Fishery; Climate change; Ecology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007048087,0.0006235811,0.001410148,0.006222693,0.0002677428,0.0009240698,0.0006669889,0.0007263141,0.00945895],"category_scores_gemma":[0.03507094,0.0002286928,0.001402957,0.009650659,0.000341569,0.0009427844,0.000787937,0.0004637519,0.001035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007129452,"about_ca_system_score_gemma":0.0008391108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005689722,"about_ca_topic_score_gemma":0.01308126,"domain_scores_codex":[0.9955072,0.001319292,0.001416531,0.0007860624,0.0008289704,0.0001419445],"domain_scores_gemma":[0.9593543,0.02095134,0.01170426,0.002185598,0.005173208,0.0006312883],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002845111,0.00007412611,0.8095684,0.02692148,0.02549238,0.0002986242,0.0004654414,0.000867475,0.003007631,0.000249297,0.02183159,0.1083784],"study_design_scores_gemma":[0.000135926,0.0005006358,0.9754836,0.002556021,0.006951271,0.0003030826,0.0003054306,0.0004229271,0.0004555006,0.0002392588,0.01261499,0.00003128411],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6118316,0.1321003,0.005342027,0.003797804,0.001414382,0.0009517199,0.2395772,0.0003893336,0.004595698],"genre_scores_gemma":[0.9378287,0.01590293,0.004077677,0.001159996,0.0007703299,0.001437669,0.03612602,0.00006049558,0.002636078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9929519,"threshold_uncertainty_score":0.0372743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752327125007767,"score_gpt":0.3118808500327778,"score_spread":0.2543575787827002,"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."}}