{"id":"W6923487541","doi":"10.1371/journal.pone.0309171.s001","title":"S1 Appendix -","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Resilience and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Pandemic; Thematic analysis; Psychological resilience; Distress; Resilience (materials science); Quality of life (healthcare); Diversity (politics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003685341,0.0008680972,0.001119782,0.00392918,0.002534821,0.002270324,0.002501193,0.001605311,0.8969161],"category_scores_gemma":[0.04049264,0.0007884364,0.0006601983,0.005575437,0.0006423349,0.002797381,0.002149879,0.002157465,0.4973522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895162,"about_ca_system_score_gemma":0.006746073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02572734,"about_ca_topic_score_gemma":0.03100201,"domain_scores_codex":[0.9979601,0.0005063995,0.000320576,0.0003533661,0.0006760714,0.0001834908],"domain_scores_gemma":[0.9725652,0.01415951,0.0008314748,0.001936329,0.009669061,0.000838463],"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":[0.00006684641,0.00003995759,0.0003193318,0.000663423,0.00000302734,0.00003620387,0.000130059,0.00006392541,0.00004798246,0.0008491487,0.9826903,0.01508977],"study_design_scores_gemma":[0.00008409179,0.0000431365,0.001680428,0.0009611918,0.000005636105,0.00008629452,0.0006874184,0.0001021266,0.0001214616,0.002624193,0.9935831,0.00002089831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001210444,0.0004660668,0.00269571,0.002112605,0.00139277,0.003483684,0.8494956,0.001829424,0.1373136],"genre_scores_gemma":[0.0114874,0.001820429,0.01375793,0.006077595,0.0004705232,0.01506216,0.5949926,0.002572072,0.3537593],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1030839,"threshold_uncertainty_score":0.1470367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0693716843500313,"score_gpt":0.4346819778696832,"score_spread":0.3653102935196519,"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."}}