{"id":"W6904729151","doi":"10.14473/csda/mfkt9u","title":"Život během pandemie (Život k nezaplacení), spojený soubor vlny 1–50","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"","field":"","cited_by":1,"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":["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":[0.01360851,0.003530747,0.003282314,0.003165813,0.007890199,0.007238077,0.03918931,0.001623814,0.002612647],"category_scores_gemma":[0.00567056,0.003578603,0.0009058534,0.01129383,0.02428056,0.006488196,0.03676163,0.008507929,0.2455357],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004024652,"about_ca_system_score_gemma":0.01515639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543511,"about_ca_topic_score_gemma":0.004047766,"domain_scores_codex":[0.9679231,0.001591302,0.002993495,0.01099019,0.009055031,0.007446854],"domain_scores_gemma":[0.9811326,0.001923389,0.002234333,0.01110778,0.0006345093,0.002967443],"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":[0.0004110572,0.0007523125,0.00006390717,0.0007885453,0.000399389,0.0007136852,0.003662413,0.00000406866,0.00699799,0.003073292,0.977647,0.005486358],"study_design_scores_gemma":[0.001275314,0.0003456058,0.0005223344,0.001110899,0.001900449,0.0001561804,0.004580579,0.001690497,0.0001902426,0.005177474,0.9790725,0.003977906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006308431,0.00135015,0.0001886168,0.0009192551,0.007826374,0.00320464,0.9811537,0.0008990768,0.003827347],"genre_scores_gemma":[0.001193079,0.002015694,0.001830738,0.000859633,0.00889989,0.0002157503,0.9836044,0.0006185502,0.000762285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.242923,"threshold_uncertainty_score":0.9997987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07130268204602021,"score_gpt":0.3827618396181972,"score_spread":0.311459157572177,"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."}}