{"id":"W4232916675","doi":"10.31234/osf.io/8tqap","title":"Time Perspective predicts levels of Anxiety and Depression during the COVID-19 outbreak: A cross-cultural study","year":2021,"lang":"en","type":"article","venue":"","topic":"Psychological and Temporal Perspectives Research","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"H2020 European Research Council; Università degli Studi di Padova","keywords":"Anxiety; Neuroticism; Psychology; Depression (economics); Clinical psychology; Chronotype; Demography; Population; Big Five personality traits; Personality; Psychiatry; Social psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003888601,0.0001625613,0.0002452473,0.00004437816,0.0002977908,0.0000792738,0.0002485344,0.0001095993,0.006242736],"category_scores_gemma":[0.0006319674,0.00008775179,0.00009059932,0.0003274236,0.0006003418,0.0001417597,0.0003394442,0.0003143655,0.0000709037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009170199,"about_ca_system_score_gemma":0.00004969735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005434717,"about_ca_topic_score_gemma":0.00004692196,"domain_scores_codex":[0.9980173,0.0004486722,0.000234336,0.0006542296,0.0003271034,0.0003183726],"domain_scores_gemma":[0.9986542,0.0002223467,0.00007039167,0.0004370769,0.0004047703,0.0002112237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001040755,0.002315023,0.9180309,0.0000326682,0.0005091202,0.000336165,0.05339419,0.00001326663,0.017602,0.003007477,0.002716857,0.001001572],"study_design_scores_gemma":[0.002171475,0.0001779947,0.9446017,0.000004622924,0.00001327136,0.0001696973,0.05081831,0.00001269628,0.0004977137,0.0009357288,0.0004737052,0.0001230976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050496,0.0005858859,0.00001695609,0.001117172,0.00009373669,0.0004389972,0.00006285848,0.00006611001,0.0925687],"genre_scores_gemma":[0.979977,0.00001733176,0.00002895317,0.0002497859,0.00009508944,0.00004152311,0.000002046017,0.00001030641,0.01957799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07492738,"threshold_uncertainty_score":0.9946657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08446058150945988,"score_gpt":0.4426734933447151,"score_spread":0.3582129118352552,"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."}}