{"id":"W6904729151","doi":"10.14473/csda/mfkt9u","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–50","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"","field":"","cited_by":1,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004050102,0.000345906,0.0004921197,0.001712627,0.002255867,0.004367654,0.0009568662,0.001320211,0.01925507],"category_scores_gemma":[0.01099369,0.0004576118,0.0008825114,0.002295128,0.001433916,0.002597796,0.004863437,0.002456693,0.002564277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003458578,"about_ca_system_score_gemma":0.01006693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06539115,"about_ca_topic_score_gemma":0.1013665,"domain_scores_codex":[0.9959154,0.001515818,0.0003452371,0.0005286568,0.0009389102,0.0007560907],"domain_scores_gemma":[0.9951049,0.0009965382,0.001267155,0.0003497391,0.001166753,0.001114815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007480768,0.0006118542,0.6569164,0.003194753,0.0005680516,0.0007817104,0.02147946,0.0003571661,0.001755408,0.02872411,0.05042327,0.2344397],"study_design_scores_gemma":[0.00006471004,0.0005090135,0.7159792,0.002737365,0.0002834362,0.0007837883,0.02548081,0.0001780165,0.001221947,0.005266147,0.2474116,0.00008388792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6209781,0.03090102,0.006193297,0.0660134,0.002053323,0.001417207,0.01986603,0.0002501076,0.2523275],"genre_scores_gemma":[0.8935364,0.01967247,0.005555892,0.008571488,0.000558596,0.001209178,0.006086575,0.00009714277,0.06471228],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06539115,"threshold_uncertainty_score":0.1300211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07130268204602021,"score_gpt":0.3827618396181972,"score_spread":0.311459157572177,"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."}}