{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003985562,0.0003328914,0.0004870099,0.001482344,0.002407833,0.004612238,0.0009253121,0.001348322,0.01937199],"category_scores_gemma":[0.0108099,0.0004331138,0.0007624803,0.002009747,0.001750953,0.002592735,0.00506311,0.002565656,0.002362008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003624371,"about_ca_system_score_gemma":0.01196697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06009221,"about_ca_topic_score_gemma":0.09490156,"domain_scores_codex":[0.9957206,0.001673221,0.0003538133,0.0005336777,0.0009841899,0.0007345977],"domain_scores_gemma":[0.9955093,0.0008992431,0.001148824,0.0003294412,0.001087541,0.001025606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007568832,0.0006182336,0.5547247,0.003906105,0.0005999928,0.001062009,0.02831734,0.0003808921,0.002093709,0.04528505,0.06687415,0.295381],"study_design_scores_gemma":[0.00007156371,0.0005221631,0.6103059,0.003592745,0.000303833,0.001077634,0.03337533,0.0001916328,0.001397141,0.007784001,0.3412841,0.00009396104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5445154,0.03551935,0.00679972,0.09044414,0.002319162,0.001305633,0.01460776,0.0002428821,0.304246],"genre_scores_gemma":[0.8881172,0.02201013,0.005417391,0.009279132,0.0005690172,0.0009830851,0.00418683,0.00009472114,0.06934247],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06009221,"threshold_uncertainty_score":0.1194848,"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."}}