{"id":"W6923358380","doi":"10.14473/csda/mr7mlg","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–51","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":[0.003979362,0.000351121,0.0005053597,0.001499137,0.002482988,0.004725312,0.0009544952,0.001453275,0.01966485],"category_scores_gemma":[0.01086822,0.0004439718,0.0007837135,0.002054718,0.001792676,0.002601552,0.005204655,0.002642746,0.002450374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003653111,"about_ca_system_score_gemma":0.01158901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05688499,"about_ca_topic_score_gemma":0.093488,"domain_scores_codex":[0.9956272,0.001750409,0.0003607176,0.0005491829,0.0009940478,0.0007185707],"domain_scores_gemma":[0.9953791,0.0009685833,0.001190027,0.0003524485,0.001118706,0.0009910997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007863012,0.0006491742,0.5460299,0.004213169,0.0006483667,0.001162332,0.02803443,0.0004108165,0.00226664,0.04956537,0.06805085,0.2981827],"study_design_scores_gemma":[0.00007500903,0.0005610809,0.5756696,0.003863624,0.0003358195,0.001157577,0.03308182,0.0002078886,0.001595315,0.009086529,0.3742644,0.000101367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5268798,0.03810655,0.007628504,0.09650551,0.002581794,0.001358488,0.01545573,0.0002566006,0.311227],"genre_scores_gemma":[0.8779702,0.02431887,0.006247064,0.01048837,0.0006529841,0.001040401,0.004612844,0.00009984926,0.07456954],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05688499,"threshold_uncertainty_score":0.1131078,"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."}}