{"id":"W6904882690","doi":"10.14473/csda/hgzkpi/s6or1x","title":"data_bez_diakritiky_w2_chps_cz_v2.0.tab","year":2024,"lang":"id","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Product (mathematics)","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","insufficient_payload"],"consensus_categories":["sts","open_science"],"category_scores_codex":[0.003689575,0.0008949873,0.0007845982,0.0005786764,0.001564127,0.001506025,0.01337676,0.0008671093,0.0002974576],"category_scores_gemma":[0.002980934,0.0008106743,0.0002712296,0.001398632,0.0095258,0.0001018166,0.02156587,0.001712489,0.009567209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157977,"about_ca_system_score_gemma":0.004664217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002509687,"about_ca_topic_score_gemma":0.0004981192,"domain_scores_codex":[0.9903678,0.0002530095,0.001148854,0.002977376,0.002857901,0.002395052],"domain_scores_gemma":[0.9936377,0.0001430567,0.000364942,0.004301525,0.0003604101,0.00119235],"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":[0.00005839606,0.0002184965,0.000007837426,0.0006460692,0.0001417331,0.00005408877,0.0003153593,8.950986e-8,0.01475674,0.00009507143,0.9629515,0.02075461],"study_design_scores_gemma":[0.0004143856,0.0004637204,0.0001099607,0.0001830092,0.0001940966,0.00002932516,0.001171581,0.0003158632,0.001990669,0.000561887,0.9935708,0.00099469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00029449,0.001073316,0.0002973836,0.0009276332,0.00261631,0.0008269071,0.9881347,0.0000345873,0.005794649],"genre_scores_gemma":[0.001173398,0.009546276,0.001067073,0.0008499211,0.005599424,0.00004128671,0.9805671,0.00006268606,0.001092856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03061931,"threshold_uncertainty_score":0.9997357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854858211678144,"score_gpt":0.3583361025550136,"score_spread":0.3197875204382321,"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."}}