{"id":"W6961357248","doi":"10.14473/csda/ayv5il","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–44","year":2023,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","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","open_science","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001979342,0.0008343908,0.0008028142,0.0003202167,0.002762406,0.0007644646,0.007102555,0.0007326527,0.000149108],"category_scores_gemma":[0.0008837853,0.0008307306,0.0002757519,0.0009080733,0.002785183,0.0000576607,0.00799139,0.0008795627,0.002091617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001034761,"about_ca_system_score_gemma":0.001701629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305884,"about_ca_topic_score_gemma":0.0005406849,"domain_scores_codex":[0.9930903,0.0002398038,0.0006935549,0.00283216,0.001313595,0.001830603],"domain_scores_gemma":[0.9961194,0.0001558145,0.0005556605,0.002302167,0.0001931142,0.0006738253],"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":[0.0001201405,0.0001828139,0.0001629788,0.0001548292,0.0001390531,0.00007752152,0.0003092165,0.000004258522,0.02873767,0.0001693391,0.9668364,0.003105763],"study_design_scores_gemma":[0.0007098864,0.0003455365,0.00118107,0.0001364931,0.0002473324,0.00002638646,0.002084772,0.0001650416,0.0008934469,0.0002535392,0.9928277,0.00112882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007456638,0.0003654472,0.000186616,0.0004361745,0.001948262,0.0005713305,0.9871902,0.00006424885,0.001781069],"genre_scores_gemma":[0.007854034,0.005870546,0.000468492,0.00074401,0.00293845,0.00001853168,0.9801526,0.00005027884,0.001903052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02784422,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05646408641336131,"score_gpt":0.3239297941534267,"score_spread":0.2674657077400653,"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."}}