{"id":"W3109499539","doi":"10.1007/s40152-020-00205-y","title":"COVID-19, instability and migrant fish workers in Asia","year":2020,"lang":"en","type":"article","venue":"MAST. Maritime studies/Maritime studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Ottawa; International Development Research Centre","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Migrant workers; Fish <Actinopterygii>; Work (physics); Economic growth; Theme (computing); Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Political science; Business; Development economics; Geography; Sociology; Fishery; Economics; Medicine; Engineering; Biology; Demography; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001643154,0.0004623947,0.001014531,0.0001570988,0.001470082,0.0001388187,0.0003512294,0.0001897461,0.0003480507],"category_scores_gemma":[0.01011203,0.0004593107,0.0001541389,0.00125804,0.002217068,0.0003612575,0.000648924,0.0004787571,0.00003396245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006335847,"about_ca_system_score_gemma":0.0005886688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003201191,"about_ca_topic_score_gemma":0.17227,"domain_scores_codex":[0.9960232,0.0007330534,0.00077852,0.000937635,0.0006574989,0.0008700913],"domain_scores_gemma":[0.9972984,0.001150596,0.0001753487,0.0002778284,0.0003987469,0.0006991302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004471704,0.0003528087,0.3381982,0.001141554,0.001206298,0.0002483161,0.4018196,0.0001180909,0.00001484328,0.009786337,0.234883,0.01178373],"study_design_scores_gemma":[0.001802673,0.0001776716,0.0325028,0.0001216233,0.0001173543,0.000003051412,0.3363514,0.0004554499,0.00000213523,0.002958722,0.6247302,0.000776929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3612186,0.04961956,0.0002405344,0.5286449,0.001279118,0.003918673,0.0005798882,0.001275133,0.05322357],"genre_scores_gemma":[0.9600207,0.01349323,0.00115269,0.02051947,0.0005173164,0.0002988449,0.00003832628,0.00005990501,0.003899571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.598802,"threshold_uncertainty_score":0.9998299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05926845562126722,"score_gpt":0.3448205153430223,"score_spread":0.2855520597217551,"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."}}