{"id":"W6886146880","doi":"10.14473/csda/vf8vfe/axmydo","title":"DataQualitasArchive_FINALNI.tab","year":2024,"lang":"hr","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":"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":["insufficient_payload"],"category_scores_codex":[0.002273202,0.002709461,0.001939597,0.006441583,0.001261036,0.005829356,0.003871982,0.002510848,0.3779373],"category_scores_gemma":[0.0144733,0.001709864,0.001600688,0.01019446,0.0008690986,0.002713269,0.003729225,0.002732059,0.3444185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002894699,"about_ca_system_score_gemma":0.004755288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03196554,"about_ca_topic_score_gemma":0.035716,"domain_scores_codex":[0.9977924,0.0002817634,0.0002971752,0.0006103702,0.0005759678,0.0004424118],"domain_scores_gemma":[0.9931852,0.002015727,0.0004252546,0.002036734,0.001632534,0.0007044506],"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":[0.00003913976,0.00001051243,0.0002017928,0.0004460297,0.00001468566,0.00000782616,0.00001936975,0.0001051174,0.00006746048,0.0003864795,0.9974028,0.001298747],"study_design_scores_gemma":[0.0002189255,0.00001230579,0.002202795,0.0002366025,0.00002383069,0.00002421744,0.00006763031,0.0002260853,0.0004351186,0.001191628,0.9953139,0.00004708717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002817175,0.00001518317,0.00003762226,0.0000394682,0.00001615618,0.00001062185,0.9987738,0.0004847614,0.0005942004],"genre_scores_gemma":[0.0002716877,0.00003392618,0.0002343044,0.00004154071,0.000008903632,0.0001047042,0.9978585,0.000454686,0.0009917788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6220627,"threshold_uncertainty_score":0.8872969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167343174055634,"score_gpt":0.4227661070090607,"score_spread":0.3060317896034973,"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."}}