{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","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":[0.01591172,0.003350737,0.0034399,0.003210175,0.01080327,0.004717754,0.04393948,0.001632557,0.001075803],"category_scores_gemma":[0.01131577,0.003567575,0.000818277,0.01511535,0.0239909,0.006533666,0.03718467,0.006805256,0.2749758],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003608203,"about_ca_system_score_gemma":0.01348937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009298879,"about_ca_topic_score_gemma":0.008546629,"domain_scores_codex":[0.9667799,0.001916492,0.003054122,0.0101498,0.009776533,0.008323113],"domain_scores_gemma":[0.978515,0.002657921,0.003199623,0.01172177,0.0008186796,0.003087044],"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":[0.000431332,0.0007378966,0.0001176824,0.0003984078,0.0003175743,0.0006682182,0.002703517,0.000006931692,0.004961988,0.001582759,0.9834119,0.004661805],"study_design_scores_gemma":[0.002028068,0.0002681379,0.002395379,0.0006692627,0.001135509,0.00007952785,0.00532411,0.001762303,0.0001496205,0.002795673,0.9792769,0.004115511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008398649,0.0002609601,0.000188939,0.0007364968,0.007694681,0.003405449,0.9839921,0.001186494,0.001695037],"genre_scores_gemma":[0.0005197193,0.001828634,0.001242404,0.0007093494,0.007399065,0.0002500793,0.9860569,0.0006936964,0.001300148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2739,"threshold_uncertainty_score":0.9998373,"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."}}