{"id":"W4284670637","doi":"10.3389/fpsyg.2022.883995","title":"Affective States During the First Wave of the COVID-19 Pandemic: Progression of Intensity and Relation With Public Health Compliance Behavior","year":2022,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pandemic; Psychology; Compliance (psychology); Context (archaeology); Public health; Coronavirus disease 2019 (COVID-19); Affect (linguistics); Social psychology; Developmental psychology; Clinical psychology; Medicine; Disease; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000826486,0.0001375509,0.0001368591,0.000367111,0.0004786856,0.0006398534,0.0001526521,0.0002731046,0.001046164],"category_scores_gemma":[0.002553805,0.0001064091,0.0001928609,0.0002632306,0.0003551792,0.0001826182,0.0003319754,0.0006920432,0.00007898748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353451,"about_ca_system_score_gemma":0.0008617431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08085515,"about_ca_topic_score_gemma":0.1894283,"domain_scores_codex":[0.9997732,0.00007938265,0.00001038624,0.00002718586,0.00004331117,0.00006661334],"domain_scores_gemma":[0.9984937,0.0004080051,0.000560899,0.00005225651,0.0001952924,0.0002898993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024587,0.0001329983,0.991847,0.00001216213,0.00002401396,0.00002126719,0.001481451,0.0001189843,0.0008579238,0.00004401898,0.0001409966,0.005216726],"study_design_scores_gemma":[6.822084e-7,0.00002192844,0.9993029,0.000002019504,0.000001536529,0.000004751954,0.000502681,0.00008899517,0.00002742401,0.000007076132,0.00003840681,0.000001564526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999176,0.00003055124,0.00006913608,0.00004833376,0.000002367268,0.00001186343,0.00004606189,0.000001583644,0.0006141149],"genre_scores_gemma":[0.9996122,0.00003453278,0.00007906194,0.00002139961,0.000002561121,0.000008951183,0.00006482676,5.070635e-7,0.0001760751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08085515,"threshold_uncertainty_score":0.160769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207599326580976,"score_gpt":0.4267720562578061,"score_spread":0.3060121235997085,"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."}}