{"id":"W6886131928","doi":"10.14473/csda/eedbwc","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–46","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004160839,0.0003380273,0.0004945262,0.001473822,0.002479218,0.004699822,0.0009097899,0.001362421,0.02042555],"category_scores_gemma":[0.01085229,0.0004471586,0.0008312719,0.002040312,0.001737718,0.002697627,0.00515187,0.00250596,0.002392903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003584294,"about_ca_system_score_gemma":0.01236876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05677332,"about_ca_topic_score_gemma":0.09384941,"domain_scores_codex":[0.9953728,0.001915998,0.0003897038,0.0005606791,0.001015761,0.0007451162],"domain_scores_gemma":[0.9952607,0.000964336,0.001235015,0.0003559304,0.001121599,0.001062586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007969161,0.0006762974,0.5708275,0.004068188,0.0006569371,0.001090635,0.02925438,0.000424876,0.00213008,0.04641267,0.05774923,0.2859123],"study_design_scores_gemma":[0.0000748127,0.0005816479,0.5978332,0.003711844,0.00032771,0.00107761,0.03545689,0.0001988811,0.001537233,0.008569895,0.3505336,0.00009677708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5549799,0.03405725,0.006993962,0.08710515,0.002268637,0.001340637,0.014841,0.0002267903,0.2981866],"genre_scores_gemma":[0.887114,0.02214242,0.006150106,0.009096994,0.0005809573,0.001032383,0.004192136,0.00009263896,0.0695983],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05677332,"threshold_uncertainty_score":0.1128857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199345972302366,"score_gpt":0.4002637288951806,"score_spread":0.280329131664944,"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."}}