{"id":"W6923639514","doi":"10.14473/csda/xqprel","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–52","year":2024,"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":["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":[0.01361971,0.003535653,0.003284497,0.003140593,0.007905629,0.007332774,0.03926265,0.001626304,0.002566276],"category_scores_gemma":[0.006089092,0.00358257,0.000909646,0.01204992,0.02420045,0.006563653,0.03738923,0.008524804,0.2442727],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00405639,"about_ca_system_score_gemma":0.01510389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003122662,"about_ca_topic_score_gemma":0.004034316,"domain_scores_codex":[0.9678688,0.001592235,0.002980063,0.01102156,0.0090733,0.007464027],"domain_scores_gemma":[0.9810451,0.001939411,0.002223009,0.01114706,0.0006718757,0.002973566],"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":[0.0003857253,0.000754019,0.00006791417,0.0007776112,0.0004003017,0.0008792726,0.003760772,0.000004194459,0.006069327,0.003076836,0.9778085,0.006015487],"study_design_scores_gemma":[0.001307423,0.0003377791,0.0004922506,0.001105099,0.001913701,0.0001573354,0.004528138,0.002032185,0.0002145876,0.005046461,0.9788749,0.003990173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007162971,0.001181571,0.0001614712,0.0009112592,0.00779949,0.003215818,0.9811072,0.0009004054,0.004006452],"genre_scores_gemma":[0.001544242,0.001863083,0.001534006,0.0008449181,0.008905757,0.0002158914,0.983663,0.0006189797,0.0008101279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2417064,"threshold_uncertainty_score":0.9997669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440732973832785,"score_gpt":0.3887642217928806,"score_spread":0.3143568920545528,"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."}}