{"id":"W3094267409","doi":"10.1016/j.ssaho.2020.100075","title":"Re-thinking global and public health projects during the COVID-19 pandemic context: Considerations and recommendations for early- and not-so-early-career researchers","year":2020,"lang":"en","type":"article","venue":"Social Sciences & Humanities Open","topic":"Global Health and Surgery","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"","keywords":"Pandemic; Public relations; Context (archaeology); Public health; Thematic analysis; Political science; Mental health; Coronavirus disease 2019 (COVID-19); Economic growth; Sociology; Psychology; Qualitative research; Medicine; Nursing; Social science; Geography; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002388542,0.0001071445,0.0002558643,0.0000426322,0.00618038,0.001239898,0.0001643681,0.00005639709,0.0000440536],"category_scores_gemma":[0.00146275,0.0000825155,0.00002823532,0.0002218345,0.00137005,0.0004760175,0.0002861746,0.0001853458,9.070617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221358,"about_ca_system_score_gemma":0.001902387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027795,"about_ca_topic_score_gemma":0.01365279,"domain_scores_codex":[0.9982935,0.000258338,0.0002668145,0.0003352708,0.000313338,0.000532769],"domain_scores_gemma":[0.9986974,0.0005790886,0.000114108,0.00006849057,0.0001246983,0.0004162001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002631277,0.00003842366,0.6196843,0.0005536066,0.00006786937,0.000008929325,0.1867542,2.544874e-7,0.0000114242,0.1605672,0.02292378,0.00912682],"study_design_scores_gemma":[0.005094878,0.001629137,0.3732126,0.0001719315,0.00005836571,0.00008907875,0.3927276,0.0001231767,0.000003035865,0.02643115,0.1999277,0.0005314187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7036375,0.0007201403,0.00001869426,0.2920355,0.00006424441,0.001667108,0.000117444,0.00004061474,0.001698666],"genre_scores_gemma":[0.936514,0.0002020215,0.0001968561,0.06274726,0.0001427411,0.00009491698,0.000009716448,0.000005731973,0.00008678689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2464717,"threshold_uncertainty_score":0.9997969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5506465483603051,"score_gpt":0.4718337218464487,"score_spread":0.07881282651385646,"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."}}