{"id":"W4382139133","doi":"10.1038/s41893-023-01156-y","title":"Vulnerability of blue foods to human-induced environmental change","year":2023,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vulnerability (computing); Sustainability; Business; Environmental planning; Natural resource economics; Vulnerability assessment; Environmental impact assessment; Environmental resource management; Food systems; Environmental change; Food security; Environmental protection; Climate change; Geography; Environmental science; Psychological resilience; Ecology; Economics","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":[0.0006350036,0.0002432076,0.000157769,0.0005457334,0.0005021742,0.001036101,0.0002627947,0.0004584516,0.005375803],"category_scores_gemma":[0.001580014,0.00009224046,0.0002690079,0.0008247099,0.0006097991,0.0006695419,0.001756001,0.0003266145,0.0003912035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008351169,"about_ca_system_score_gemma":0.0003961078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009244452,"about_ca_topic_score_gemma":0.01290397,"domain_scores_codex":[0.9995922,0.0001160988,0.00001265645,0.00007944325,0.00007296194,0.0001267058],"domain_scores_gemma":[0.9987463,0.0002721237,0.0005299156,0.0001034387,0.0002194441,0.0001287639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001765123,0.00005805848,0.9600459,0.0001189417,0.000227291,0.0004124617,0.001847863,0.007897355,0.002526005,0.001666963,0.001917986,0.02310457],"study_design_scores_gemma":[0.000003040113,0.0001366353,0.9745743,0.00007176436,0.00002893082,0.000312166,0.005777358,0.004097259,0.0009346275,0.00581511,0.008225295,0.00002359455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895481,0.0002495122,0.0007698563,0.0005394112,0.00001250356,0.00001289624,0.0009197894,0.00001609403,0.007931898],"genre_scores_gemma":[0.9988281,0.0001332704,0.0001417147,0.00007065466,0.000003573677,0.000007959519,0.0002204879,0.000002965028,0.0005913412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009244452,"threshold_uncertainty_score":0.01838124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665077982930971,"score_gpt":0.3027683578894077,"score_spread":0.286117578060098,"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."}}