{"id":"W4313056537","doi":"10.58487/akrabjuara.v7i3.1926","title":"PANDEMI COVID-19 DALAM KEHIDUPAN SOSIAL-EKONOMI MASYARAKAT NELAYAN KELURAHAN PINANGSORI KECAMATAN PINANGSORI KABUPATEN TAPANULI TENGAH","year":2022,"lang":"en","type":"article","venue":"Akrab Juara Jurnal Ilmu-ilmu Sosial","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Fishing; Field research; Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Business; Stipulation; Fish <Actinopterygii>; Distribution (mathematics); Documentation; Socioeconomics; Geography; Fishery; Economics; Political science; Sociology; Social science","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":[0.0001881094,0.0002396599,0.0001380661,0.0003171077,0.001680031,0.001054609,0.0002618888,0.0003281182,0.01789291],"category_scores_gemma":[0.0003664886,0.0001455879,0.00009819918,0.0005233695,0.0004438956,0.0007647644,0.001431422,0.0005541948,0.001212382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068434,"about_ca_system_score_gemma":0.003422885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280062,"about_ca_topic_score_gemma":0.02670964,"domain_scores_codex":[0.9998804,0.0000154096,0.00000711553,0.00001744004,0.00002535194,0.00005416636],"domain_scores_gemma":[0.9998204,0.00003082541,0.00002743398,0.000009536489,0.00003857732,0.00007318077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005210307,0.0006098645,0.4132424,0.003186083,0.00006805655,0.02727509,0.05743426,0.00074981,0.0340864,0.032469,0.05322714,0.3771308],"study_design_scores_gemma":[0.00003548419,0.0003815524,0.4562148,0.0007515639,0.00004152246,0.00906847,0.1084628,0.0006586727,0.003396251,0.00215886,0.4187688,0.00006124064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726123,0.003462363,0.0006695863,0.003439055,0.0002783845,0.0002782799,0.00075409,0.00007023434,0.1184358],"genre_scores_gemma":[0.9498805,0.003392732,0.0009193287,0.000424535,0.00003121768,0.000125041,0.0006233185,0.00001458073,0.04458875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01789291,"threshold_uncertainty_score":0.05985773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553668806057908,"score_gpt":0.234725276365385,"score_spread":0.2191885883048059,"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."}}