{"id":"W6923816426","doi":"10.14473/csda/az9fkv","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–48","year":2023,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004029612,0.0003431181,0.0005018574,0.001481375,0.002521764,0.004698952,0.0009430845,0.001428454,0.02030524],"category_scores_gemma":[0.01081225,0.0004449696,0.0008170249,0.001980838,0.001832899,0.002677877,0.005209546,0.002562824,0.002386081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003654502,"about_ca_system_score_gemma":0.01154916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05478815,"about_ca_topic_score_gemma":0.08858026,"domain_scores_codex":[0.9954438,0.0018439,0.0003791057,0.0005614081,0.001028257,0.0007435451],"domain_scores_gemma":[0.9953278,0.0009522765,0.001243657,0.0003544166,0.001103999,0.00101779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008205094,0.0006829504,0.550743,0.004037202,0.0006513328,0.001140447,0.02968667,0.0004010553,0.002128136,0.04617854,0.06217657,0.3013536],"study_design_scores_gemma":[0.00007590043,0.0005869924,0.5795004,0.003791066,0.0003297758,0.001148761,0.03492653,0.0001920201,0.001611363,0.008736953,0.3689989,0.0001012098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5414955,0.03669311,0.007272171,0.09025933,0.00232226,0.001276079,0.01450361,0.0002457712,0.3059323],"genre_scores_gemma":[0.8841429,0.02303563,0.005952049,0.009387376,0.000615086,0.001047285,0.004128711,0.00009402275,0.07159693],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9796948,"threshold_uncertainty_score":0.1089385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066625044791275,"score_gpt":0.3936508288763815,"score_spread":0.286988324397254,"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."}}