{"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":"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","insufficient_payload"],"category_scores_codex":[0.0161654,0.003369603,0.0034655,0.003222703,0.01075981,0.004690586,0.0437141,0.001642715,0.0009839422],"category_scores_gemma":[0.01153222,0.003588086,0.0008209727,0.01516329,0.02405081,0.006551347,0.03729283,0.00684689,0.2185106],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003658864,"about_ca_system_score_gemma":0.01342135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009431639,"about_ca_topic_score_gemma":0.008614752,"domain_scores_codex":[0.9664546,0.001937977,0.003068864,0.01032816,0.009830324,0.008380064],"domain_scores_gemma":[0.9778211,0.003038987,0.003213099,0.01200713,0.0008222553,0.003097481],"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":[0.0004322573,0.0007425281,0.0001267658,0.0004023374,0.0003218292,0.0006713489,0.002751707,0.000008387432,0.005211025,0.001606304,0.9829264,0.004799079],"study_design_scores_gemma":[0.002047575,0.0003494311,0.002873766,0.0007087824,0.001149899,0.00008026243,0.00542194,0.001742383,0.0001567282,0.002867694,0.9784374,0.004164109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000956163,0.0002653031,0.0001913757,0.0007463838,0.00665555,0.003450213,0.9848933,0.001194331,0.001647437],"genre_scores_gemma":[0.0005872333,0.001867459,0.001245547,0.0007126734,0.007445957,0.0002465587,0.986126,0.0006968668,0.001071684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2175267,"threshold_uncertainty_score":0.9999293,"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."}}