{"id":"W4296299184","doi":"10.1016/j.marpol.2022.105281","title":"Fishing safely during COVID-19 in Newfoundland and Labrador, Canada: Making it happen","year":2022,"lang":"en","type":"article","venue":"Marine Policy","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fishing; Livelihood; Scale (ratio); Pandemic; Fishery; Business; Vulnerability (computing); Coronavirus disease 2019 (COVID-19); Work (physics); Geography; Environmental resource management; Engineering; Economics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210422,0.0002736486,0.0002288929,0.0009630875,0.01015183,0.003054157,0.001589195,0.0006190414,0.002405922],"category_scores_gemma":[0.002844721,0.0003869344,0.0003136386,0.001603758,0.003905796,0.001268408,0.003084322,0.001733405,0.0002288237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09967104,"about_ca_system_score_gemma":0.1399439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977295,"about_ca_topic_score_gemma":0.9994227,"domain_scores_codex":[0.9981928,0.0001526647,0.00005099534,0.0001762949,0.0002815576,0.001145623],"domain_scores_gemma":[0.9964133,0.0002610504,0.0004682311,0.00007422063,0.0008587406,0.001924397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001939614,0.0001910102,0.8191964,0.0003535856,0.00009209767,0.002325762,0.09367653,0.000547073,0.001551468,0.001913035,0.0241816,0.05577748],"study_design_scores_gemma":[0.000007761938,0.00005224004,0.7514077,0.0002258114,0.00002099396,0.0001235612,0.2310003,0.0002338552,0.0001900868,0.0001427457,0.01654563,0.00004915924],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791229,0.0009174676,0.0002356725,0.008420449,0.00006059403,0.0001041085,0.0008889048,0.00002722184,0.01022258],"genre_scores_gemma":[0.9904897,0.001263699,0.0004454655,0.001753292,0.00001382449,0.000053087,0.000519732,0.00001549633,0.005445729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09967104,"threshold_uncertainty_score":0.7231674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095542056232993,"score_gpt":0.3113374699158315,"score_spread":0.2903820493535016,"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."}}