{"id":"W6923358380","doi":"10.14473/csda/mr7mlg","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–51","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Coronavirus disease 2019 (COVID-19)","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01348885,0.003536611,0.003286873,0.003142023,0.007907494,0.007256172,0.03928084,0.001624403,0.002565938],"category_scores_gemma":[0.006087415,0.00358329,0.0009058138,0.01231665,0.02421314,0.006565023,0.0374159,0.00851407,0.244093],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004060151,"about_ca_system_score_gemma":0.01537138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003112392,"about_ca_topic_score_gemma":0.004096481,"domain_scores_codex":[0.9678924,0.001568682,0.002981418,0.01102692,0.009063506,0.007467056],"domain_scores_gemma":[0.9810579,0.001907815,0.002223697,0.01115376,0.0006827183,0.002974097],"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":[0.0003867425,0.0007545493,0.00006758267,0.0007792922,0.0004005138,0.0008820984,0.003820382,0.00000419793,0.005971076,0.003059717,0.9778246,0.006049258],"study_design_scores_gemma":[0.001313581,0.0003434487,0.0005024663,0.001106846,0.001912837,0.0001574354,0.004538909,0.002012451,0.0002135181,0.005071961,0.9788339,0.003992673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007279897,0.001175722,0.0001581492,0.0009170147,0.007917817,0.003215559,0.9809551,0.0009005548,0.004032092],"genre_scores_gemma":[0.001533872,0.001869912,0.001543718,0.0008525791,0.008912189,0.0002159326,0.9836426,0.0006190529,0.0008101261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2415271,"threshold_uncertainty_score":0.9997631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440732973832785,"score_gpt":0.3887642217928806,"score_spread":0.3143568920545528,"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."}}