{"id":"W2588801075","doi":"10.1111/faf.12206","title":"The little fish that can feed the world","year":2017,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Engraulis; Consumption (sociology); Anchovy; Fishery; Fish <Actinopterygii>; Incentive; Business; Geography; Economics; Biology; Sociology","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":[0.000589115,0.0007303335,0.0004741005,0.000798496,0.001736759,0.003904284,0.0006454678,0.001680335,0.06714258],"category_scores_gemma":[0.001637476,0.0002121767,0.0002930354,0.000780655,0.003238196,0.004751877,0.003287045,0.00132899,0.01564551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265603,"about_ca_system_score_gemma":0.001497401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004647183,"about_ca_topic_score_gemma":0.008168992,"domain_scores_codex":[0.9995641,0.00009459584,0.00002443018,0.00008817033,0.0001602974,0.00006846213],"domain_scores_gemma":[0.9991038,0.000113365,0.0001225068,0.0001628335,0.0002551454,0.0002423005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004018218,0.0001660451,0.0238155,0.00245512,0.0001748585,0.001188664,0.002736031,0.0004367236,0.02060719,0.1238454,0.3356169,0.4885556],"study_design_scores_gemma":[0.000009508214,0.0000794718,0.005004918,0.0008392851,0.00002394632,0.0005120045,0.001424685,0.00008083569,0.0006935605,0.01698761,0.9743193,0.00002488034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05992662,0.1081332,0.005993069,0.2060581,0.005275913,0.0000865992,0.001476792,0.0006939273,0.6123559],"genre_scores_gemma":[0.3914614,0.06920355,0.01171499,0.05321449,0.003066475,0.0001741939,0.001616041,0.0003851376,0.4691637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06714258,"threshold_uncertainty_score":0.2246143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421418607116159,"score_gpt":0.2407320247179016,"score_spread":0.21651783864674,"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."}}