{"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":"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"],"category_scores_codex":[0.01606077,0.003363779,0.003456367,0.003221246,0.01081885,0.004673671,0.0435352,0.001637786,0.0008579219],"category_scores_gemma":[0.01146815,0.003578471,0.0008189851,0.01516066,0.02400714,0.006534725,0.03713651,0.006827288,0.2564797],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003655038,"about_ca_system_score_gemma":0.01339109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008930336,"about_ca_topic_score_gemma":0.008642424,"domain_scores_codex":[0.9665321,0.001924883,0.00306359,0.01029832,0.009804316,0.008376797],"domain_scores_gemma":[0.9779505,0.003036853,0.003207379,0.01188828,0.0008208108,0.003096201],"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":[0.0004315001,0.0007421863,0.0001259463,0.0004023499,0.0003217929,0.0006704025,0.002754557,0.000008380628,0.005920224,0.001327655,0.9830859,0.004209129],"study_design_scores_gemma":[0.002032007,0.00034661,0.002866568,0.0007028751,0.001142194,0.00007975582,0.005378787,0.00153457,0.0001673804,0.002647314,0.9789693,0.004132631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000924418,0.0002652874,0.0001588719,0.0007382438,0.006636384,0.00344469,0.9847291,0.001181499,0.001921547],"genre_scores_gemma":[0.0006609559,0.00186865,0.001092136,0.0007066493,0.007429488,0.0002507967,0.9862472,0.0006961542,0.001047901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2556218,"threshold_uncertainty_score":0.9996583,"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."}}