{"id":"W6939502742","doi":"10.60692/pm1x7-vpx87","title":"COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Globe; Government (linguistics); Pandemic; Raw data; Inclusion (mineral); Coronavirus disease 2019 (COVID-19); Tracking (education)","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":[0.001767143,0.0005714216,0.000649941,0.001610742,0.0007245053,0.0009794431,0.00121488,0.001334028,0.01326245],"category_scores_gemma":[0.009867325,0.0003179159,0.000769334,0.003091556,0.0003087055,0.0006635746,0.002501842,0.001284167,0.009197625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277595,"about_ca_system_score_gemma":0.001528151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03940221,"about_ca_topic_score_gemma":0.05435443,"domain_scores_codex":[0.9986193,0.0003949676,0.0001975074,0.000304746,0.0002759088,0.0002075452],"domain_scores_gemma":[0.9953622,0.001121482,0.0007573351,0.0009636534,0.001357024,0.000438193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003700164,0.0001402605,0.0658592,0.0008075559,0.0001741481,0.0001196288,0.0003709668,0.0009840452,0.000598053,0.001405632,0.9159554,0.01321511],"study_design_scores_gemma":[0.0003629206,0.0001702914,0.4556859,0.0007566404,0.0001139019,0.0002043187,0.001397846,0.001575364,0.001047096,0.002134494,0.5364169,0.0001343477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008175887,0.00007234908,0.0002148038,0.000422215,0.00004691468,0.00005630389,0.989526,0.0001215706,0.001363873],"genre_scores_gemma":[0.01186381,0.00006742089,0.000842142,0.000248266,0.00002933109,0.0003925354,0.9850604,0.00003423953,0.001461707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03940221,"threshold_uncertainty_score":0.07834572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158587690503203,"score_gpt":0.2746422994210301,"score_spread":0.1587835303707097,"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."}}