{"id":"W3132868599","doi":"10.3390/su13042219","title":"Building Back Sustainably: COVID-19 Impact and Adaptation in Newfoundland and Labrador Fisheries","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sustainability; Fishery; Pandemic; Business; Quarantine; European union; Coronavirus disease 2019 (COVID-19); Globe; Geography; Fishing; Adaptation (eye); Environmental resource management; Economics; International trade; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007109002,0.0001298026,0.0002758119,0.0001395352,0.0001181438,0.0001449245,0.00006262221,0.00007693958,0.0001395955],"category_scores_gemma":[0.002938962,0.0001397033,0.00003959657,0.0003456023,0.0001531513,0.0003848248,0.0001049754,0.0001008995,0.000004410773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922971,"about_ca_system_score_gemma":0.000894755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006936347,"about_ca_topic_score_gemma":0.002312433,"domain_scores_codex":[0.998753,0.00003898219,0.0003820601,0.0004681844,0.0000434155,0.0003143949],"domain_scores_gemma":[0.9992148,0.0001712271,0.0001029623,0.0001899366,0.0001380781,0.000183016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004979723,0.00003997997,0.9295773,0.0002613088,0.00000966094,0.00005235058,0.001927351,0.0002491171,0.000001516347,0.0645848,0.0001989618,0.003047864],"study_design_scores_gemma":[0.0004303523,0.00003523881,0.6624376,0.000004270575,0.000001147452,0.00001232145,0.00282019,0.0006803679,0.000002462842,0.3080319,0.0254049,0.0001392279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853808,0.001951745,0.002709177,0.009004842,0.00003679681,0.0002541145,0.00001237088,0.0000126116,0.0006375722],"genre_scores_gemma":[0.9969153,0.0002999924,0.001472387,0.0004257939,0.00001711399,0.00001970325,0.000007934461,0.000008403112,0.0008333525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2671397,"threshold_uncertainty_score":0.9996765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497007528879033,"score_gpt":0.2870572438438937,"score_spread":0.2520871685551034,"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."}}