{"id":"W2954925895","doi":"10.1017/sus.2019.8","title":"Viewpoint: Back to the future for fisheries, where will we choose to go?","year":2019,"lang":"en","type":"article","venue":"Global Sustainability","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Overfishing; Fishing; Fishery; Subsidy; Sustainability; Fisheries management; Business; Food security; Fish stock; Natural resource economics; Population; Economics; Geography; Ecology; Market economy; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005891261,0.0002022546,0.0002166652,0.000009442644,0.000180825,0.0001093655,0.0007819756,0.0001030199,0.01879416],"category_scores_gemma":[0.0002672213,0.0001407031,0.0001209696,0.0006698028,0.0001182574,0.0002734947,0.001121774,0.0001577379,0.001774262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557953,"about_ca_system_score_gemma":0.00008194867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496443,"about_ca_topic_score_gemma":0.003108347,"domain_scores_codex":[0.9978753,0.0001024564,0.0002302626,0.0006190703,0.0004239915,0.0007488586],"domain_scores_gemma":[0.9985303,0.00004991135,0.00003269248,0.0009560979,0.00009400881,0.0003369316],"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":[0.0003111193,0.00008628585,0.315486,0.0001691273,0.000008901915,0.000002457214,0.0003502933,0.0001195077,0.000004969028,0.00104017,0.3784296,0.3039916],"study_design_scores_gemma":[0.000190776,0.0001973673,0.1264379,0.000002389399,0.000003314725,0.000001812375,0.001119586,0.00004011298,0.000004513402,0.005357798,0.866479,0.0001654333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2881378,0.0001215864,0.0008364931,0.4542891,0.0006789808,0.00868686,0.0002113125,0.00009084541,0.2469471],"genre_scores_gemma":[0.621979,0.0002955387,0.0071321,0.03931236,0.002036966,0.002413693,0.00009494916,0.0001419383,0.3265935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4880494,"threshold_uncertainty_score":0.999003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00570814299078477,"score_gpt":0.2508230550620629,"score_spread":0.2451149120712781,"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."}}