{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00153364,0.002226075,0.00167657,0.005112936,0.001185283,0.003626684,0.003684707,0.002185627,0.2696309],"category_scores_gemma":[0.01010824,0.001162016,0.00131045,0.007700747,0.0006981824,0.001748528,0.003039615,0.002371609,0.2127819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197623,"about_ca_system_score_gemma":0.003727753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0178597,"about_ca_topic_score_gemma":0.02102891,"domain_scores_codex":[0.9988177,0.0001527396,0.000147453,0.0003619082,0.000272533,0.0002476037],"domain_scores_gemma":[0.9965118,0.001236469,0.0002690933,0.0008241812,0.000713562,0.0004449165],"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":[0.00009248674,0.00002669398,0.0006282594,0.0009660649,0.00003417001,0.00002123786,0.00002361228,0.0002409923,0.0002536732,0.0007015996,0.9950459,0.001965462],"study_design_scores_gemma":[0.0003314212,0.00001511469,0.002568612,0.0002750842,0.00004518115,0.00006103234,0.00007067988,0.0004036572,0.0009587054,0.001659163,0.9935651,0.00004613039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006178949,0.00002477142,0.00007537309,0.00003608323,0.00001250852,0.00001298166,0.9987895,0.0004961597,0.0004909537],"genre_scores_gemma":[0.0004137859,0.0000450744,0.0003498818,0.00005097593,0.0000060666,0.0001172029,0.99809,0.0002756873,0.000651321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7303691,"threshold_uncertainty_score":0.9020053,"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."}}