{"id":"W6905088001","doi":"10.14473/csda/tmsbyc","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–49","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":[],"consensus_categories":[],"category_scores_codex":[0.003504622,0.0003151288,0.0004750546,0.00146427,0.002477155,0.004444101,0.0009094597,0.001327825,0.02040298],"category_scores_gemma":[0.01022494,0.0004157494,0.0007735179,0.001922008,0.001676895,0.002539715,0.004938416,0.002458317,0.002322401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003416761,"about_ca_system_score_gemma":0.01069365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05968979,"about_ca_topic_score_gemma":0.09246115,"domain_scores_codex":[0.9959983,0.001578682,0.0003383596,0.0004857578,0.0009014751,0.0006974505],"domain_scores_gemma":[0.9958339,0.0008215832,0.001096559,0.0002968698,0.0009764304,0.0009746312],"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":[0.0007649065,0.0006436001,0.5781684,0.003581388,0.0005921318,0.001125099,0.02708637,0.0003584228,0.00193172,0.04409056,0.06447335,0.2771842],"study_design_scores_gemma":[0.00006977907,0.0005137226,0.6173171,0.003421134,0.0003019756,0.001100304,0.0326059,0.0001885137,0.001345568,0.007756969,0.3352882,0.00009090758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5587756,0.03278725,0.005943125,0.08296213,0.002197085,0.001204699,0.01481939,0.0002190025,0.3010916],"genre_scores_gemma":[0.8950267,0.020811,0.004892471,0.008758657,0.000580613,0.0009198591,0.00412359,0.00008593295,0.06480105],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05968979,"threshold_uncertainty_score":0.1186847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192352765188077,"score_gpt":0.3996498542983468,"score_spread":0.2804145777795392,"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."}}