{"id":"W7115062522","doi":"10.14473/csda/5r6pew","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–57 2020–2025","year":2025,"lang":"","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":"Work (physics); Coronavirus disease 2019 (COVID-19); Transmission (telecommunications)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974087,0.0003058749,0.0003125133,0.001300122,0.001699052,0.003731103,0.0006874422,0.001386646,0.04392748],"category_scores_gemma":[0.005481666,0.0003351852,0.0006647048,0.001241345,0.0008390849,0.002089857,0.003498044,0.001934349,0.008206774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003707568,"about_ca_system_score_gemma":0.009153849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1153638,"about_ca_topic_score_gemma":0.171546,"domain_scores_codex":[0.9978327,0.0005226887,0.0001894935,0.0002689481,0.0006471812,0.00053895],"domain_scores_gemma":[0.9976001,0.0002536257,0.0005611503,0.000126403,0.0008034941,0.0006551832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005913442,0.0004185078,0.3056907,0.002852974,0.0002438491,0.0008049793,0.01053432,0.0004519428,0.00341697,0.06265766,0.2515225,0.3608142],"study_design_scores_gemma":[0.00003799164,0.0002044304,0.3318796,0.00153424,0.00007119773,0.0003455066,0.007964936,0.0001585074,0.0008000187,0.003660292,0.6532855,0.00005775272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1895766,0.0151597,0.004926531,0.0855812,0.003633261,0.0007766329,0.04985747,0.0005775426,0.649911],"genre_scores_gemma":[0.6815334,0.01694984,0.006890208,0.01197014,0.001053901,0.000980485,0.02229157,0.0002255604,0.2581049],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1153638,"threshold_uncertainty_score":0.2293847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04962648489386229,"score_gpt":0.3792847143088878,"score_spread":0.3296582294150255,"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."}}