{"id":"W4382788396","doi":"10.1111/spc3.12813","title":"A global experience‐sampling method study of well‐being during times of crisis: The CoCo project","year":2023,"lang":"en","type":"article","venue":"Social and Personality Psychology Compass","topic":"Mental Health Research Topics","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"Universidade Federal da Paraíba; University of South Africa; Universiteit Gent; Università degli Studi di Milano-Bicocca; Durham University; Bar-Ilan University; Universiteit van Amsterdam; Universiteit Utrecht; University of Bern; Deakin University; Deutsche Forschungsgemeinschaft; Massachusetts Institute of Technology","keywords":"Experience sampling method; Coco; Data collection; Coronavirus disease 2019 (COVID-19); Sample (material); Psychology; Coping (psychology); Sampling (signal processing); Applied psychology; Data science; Computer science; Social psychology; Sociology; Medicine; Clinical psychology; Artificial intelligence; 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":[0.008105541,0.0004572924,0.0003052517,0.001157639,0.001590097,0.001256325,0.0008569052,0.0005454347,0.00251826],"category_scores_gemma":[0.013279,0.0002650142,0.0002298689,0.002687315,0.00207769,0.001236089,0.002603297,0.0009729549,0.0003720401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100074,"about_ca_system_score_gemma":0.001139352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761075,"about_ca_topic_score_gemma":0.02329908,"domain_scores_codex":[0.9946884,0.004323361,0.00008710312,0.0003199607,0.0002764454,0.0003047205],"domain_scores_gemma":[0.9906792,0.004090029,0.001064912,0.001842633,0.00137438,0.0009487803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001316594,0.002610267,0.6735998,0.0004180968,0.0001506669,0.001167521,0.1661144,0.001463512,0.001998653,0.01150374,0.0377658,0.1018909],"study_design_scores_gemma":[0.000282025,0.001509792,0.715638,0.000345309,0.00007139963,0.0008019821,0.2033748,0.003552001,0.001737986,0.003855255,0.06870617,0.0001254123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839617,0.0001578371,0.006184375,0.0006332304,0.00004880858,0.0007825453,0.002318455,0.00002167374,0.005891348],"genre_scores_gemma":[0.9802089,0.0001946728,0.01100297,0.0004852966,0.00007826786,0.003072641,0.003119587,0.00008807457,0.001749523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761075,"threshold_uncertainty_score":0.04286677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2562038308391538,"score_gpt":0.5671603200825391,"score_spread":0.3109564892433853,"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."}}