{"id":"W4200627130","doi":"10.1080/10720537.2021.2012544","title":"Construing Worst Experiences of the COVID-19 Pandemic in the USA: A Thematic Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Constructivist Psychology","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Snowball sampling; Contempt; Sadness; Pandemic; Psychology; Thematic analysis; Coronavirus disease 2019 (COVID-19); Anxiety; Social psychology; Construct (python library); Clinical psychology; Disease; Anger; Qualitative research; Medicine; Sociology; Psychiatry; Social science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01415996,0.00056492,0.0005680753,0.003463078,0.006983281,0.00455961,0.001723954,0.001391207,0.001211513],"category_scores_gemma":[0.02203088,0.0004597233,0.0004172818,0.004077516,0.008491383,0.003674284,0.006144369,0.002973982,0.0001260253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005693034,"about_ca_system_score_gemma":0.005400808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184979,"about_ca_topic_score_gemma":0.01613021,"domain_scores_codex":[0.9916728,0.006474808,0.0002534378,0.0002907159,0.0006996048,0.0006085957],"domain_scores_gemma":[0.9832487,0.01357624,0.0009631146,0.0003865751,0.001253768,0.0005715609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001583918,0.00001320415,0.001628769,0.00006371475,0.000003655902,0.0001456666,0.9938413,0.00003000987,0.00040593,0.001487012,0.0003172349,0.002047659],"study_design_scores_gemma":[0.000001533813,0.000009691223,0.002042709,0.0000662762,0.000002617984,0.00005219421,0.9941289,0.0001287715,0.000142734,0.0004280643,0.002989545,0.000007002975],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884472,0.0003006065,0.003244664,0.001944568,0.00006803216,0.0002975822,0.0001844518,0.00001388814,0.005499027],"genre_scores_gemma":[0.994979,0.0005301205,0.002151022,0.0004255597,0.00002752594,0.0004247715,0.00016178,0.00002767413,0.001272598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01415996,"threshold_uncertainty_score":0.0748859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218796833046782,"score_gpt":0.4747356209051211,"score_spread":0.3528559376004429,"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."}}