{"id":"W4205925659","doi":"10.1007/s40152-021-00231-4","title":"A comparative study of small-scale fishery supply chains’ vulnerability and resilience to COVID-19","year":2022,"lang":"en","type":"article","venue":"MAST. Maritime studies/Maritime studies","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Walton Family Foundation; University of Washington; National Science Foundation","keywords":"Vulnerability (computing); Supply chain; Livelihood; Business; Resilience (materials science); Diversification (marketing strategy); Vulnerability assessment; Distribution (mathematics); Purchasing power; Coronavirus disease 2019 (COVID-19); Psychological resilience; Scale (ratio); Vulnerability index; Natural resource economics; Environmental resource management; Economics; Marketing; Ecology; Agriculture; Climate change; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002281272,0.0004859581,0.001304441,0.0004822,0.002307692,0.000124469,0.0004408749,0.00004693391,0.0004960142],"category_scores_gemma":[0.0007573204,0.0005010386,0.00009781019,0.00105956,0.0005434806,0.0003738994,0.003700035,0.0003709486,0.00004503427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005490608,"about_ca_system_score_gemma":0.0001281648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007593031,"about_ca_topic_score_gemma":0.00261521,"domain_scores_codex":[0.9966438,0.0001797759,0.001065755,0.0009820487,0.0005296486,0.0005989313],"domain_scores_gemma":[0.9978803,0.00051388,0.000403109,0.0004349918,0.0007067822,0.00006088568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001290738,0.003732509,0.5369784,0.002246809,0.004011591,0.0001275837,0.1271104,0.002024824,0.00007966975,0.009667729,0.3055013,0.007228544],"study_design_scores_gemma":[0.004520692,0.0005938546,0.2405578,0.00007383739,0.0002553453,0.000009545131,0.6078156,0.0006570589,0.00001127963,0.003586564,0.1406111,0.001307305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740345,0.001423064,0.00006675183,0.009828424,0.0008174216,0.002402141,0.00006514337,0.0001971998,0.01116538],"genre_scores_gemma":[0.985136,0.00006688972,0.0005469345,0.008656906,0.0002483887,0.001209513,0.00003047805,0.00003430915,0.004070555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807052,"threshold_uncertainty_score":0.9997441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679186186741838,"score_gpt":0.3160214557324971,"score_spread":0.2492295938650787,"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."}}