{"id":"W4389172225","doi":"10.1038/s41893-023-01249-8","title":"Diminishing returns on labour in the global marine food system","year":2023,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia; Dalhousie University","funders":"","keywords":"Overfishing; Fishing; Productivity; Fishery; Stock (firearms); Population; Economics; Fish stock; Workforce; Natural resource economics; Geography; Agricultural economics; Business; Biology; Economic growth","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":[0.001378967,0.0001455842,0.0003799057,0.0008000275,0.0008125857,0.001762902,0.0004106706,0.0007432328,0.009124261],"category_scores_gemma":[0.01051262,0.0001342743,0.000237011,0.00143623,0.003666367,0.001957386,0.00180656,0.0006523877,0.0003956942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003952,"about_ca_system_score_gemma":0.0008863089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445534,"about_ca_topic_score_gemma":0.02548241,"domain_scores_codex":[0.9996067,0.0001649524,0.00001276732,0.00003575919,0.0000463172,0.0001334974],"domain_scores_gemma":[0.9927676,0.005025797,0.0006528292,0.0004632697,0.0003609459,0.0007295703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001460817,0.0002105613,0.3917422,0.0004158324,0.0001317194,0.001088779,0.00607284,0.04134594,0.002813683,0.3784793,0.004235612,0.1720028],"study_design_scores_gemma":[0.00004120503,0.0001419362,0.4541003,0.0001963562,0.00004872989,0.0003137439,0.01289635,0.01030347,0.0003806977,0.5098723,0.01166277,0.00004212396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625657,0.001016058,0.001130925,0.003227453,0.00001651719,0.000005294166,0.0002127024,0.000007068774,0.03181838],"genre_scores_gemma":[0.9977142,0.0003440329,0.000103595,0.00006889799,0.0000114985,0.000002660806,0.00002081131,0.000002938048,0.001731418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445534,"threshold_uncertainty_score":0.03052366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005651611776257628,"score_gpt":0.247194463084257,"score_spread":0.2415428513079994,"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."}}