{"id":"W6960662613","doi":"10.14473/csda/eecijk","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–54","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.002953218,0.00107897,0.001157501,0.0002080344,0.003513147,0.001898674,0.009437211,0.0008678159,0.001823528],"category_scores_gemma":[0.0004315831,0.0005442628,0.0003934691,0.002574209,0.005171772,0.0007365622,0.007234392,0.001932047,0.007029231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030809,"about_ca_system_score_gemma":0.0007784542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770954,"about_ca_topic_score_gemma":0.003840443,"domain_scores_codex":[0.9907707,0.0004298219,0.001029352,0.003607387,0.001718381,0.002444332],"domain_scores_gemma":[0.996731,0.0005962439,0.000468594,0.001139803,0.000208634,0.0008556759],"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":[0.00007316059,0.000252941,0.0001126067,0.0001098447,0.00005462484,0.0001783253,0.0006993609,5.440518e-7,0.03454167,0.001329232,0.9275993,0.03504841],"study_design_scores_gemma":[0.0002421001,0.0006041017,0.002561208,0.0001678855,0.0003008083,0.00006119345,0.001424885,0.0002008125,0.0003298693,0.004644702,0.9882163,0.001246104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02175035,0.001364359,0.00001185242,0.002795999,0.004296187,0.0008418243,0.9667253,0.0001270723,0.002086991],"genre_scores_gemma":[0.01828776,0.005228455,0.0002911799,0.001243267,0.009248597,0.00005175501,0.9646524,0.00001625029,0.0009803805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06061706,"threshold_uncertainty_score":0.9997009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759155267093501,"score_gpt":0.3164924103390344,"score_spread":0.2589008576680993,"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."}}