{"id":"W4410222273","doi":"10.1177/14604582251315588","title":"COVID-19 open data: An ecological study and international collaboration examining pandemic trends in Northern Periphery arctic countries","year":2025,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University","funders":"European Regional Development Fund","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Open data; Public health; Geography; Political science; Public relations; Economic growth; Medicine; Economics; Nursing","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01606487,0.0002589592,0.0003248596,0.002755826,0.005059007,0.003422237,0.0009199468,0.0009058702,0.002748375],"category_scores_gemma":[0.02131714,0.0003330745,0.0003693227,0.003293533,0.00357148,0.003096962,0.007820431,0.001279618,0.0002788199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942527,"about_ca_system_score_gemma":0.006697732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487866,"about_ca_topic_score_gemma":0.0561465,"domain_scores_codex":[0.9878155,0.009306036,0.0003063153,0.0006148439,0.0007262946,0.001231065],"domain_scores_gemma":[0.9735882,0.01667708,0.003098119,0.00140005,0.002080393,0.003156214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005149372,0.0008128207,0.3444959,0.0007796343,0.000102292,0.003324263,0.5783318,0.001021133,0.0009795055,0.008007959,0.00662802,0.05500174],"study_design_scores_gemma":[0.00003325392,0.0003662565,0.1768343,0.0005810724,0.00003739049,0.0006541776,0.7907752,0.001051555,0.0003853384,0.00190794,0.02731866,0.00005473184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899747,0.0003307946,0.00109907,0.001472097,0.00003546416,0.0001810307,0.0004729864,0.00001812521,0.006415695],"genre_scores_gemma":[0.9951933,0.00036223,0.002447895,0.0003510519,0.00002267772,0.0002236227,0.0004182654,0.00002203581,0.0009589668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990801,"threshold_uncertainty_score":0.08496016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744052420690575,"score_gpt":0.4842317429647733,"score_spread":0.3098265008957158,"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."}}