{"id":"W6930603386","doi":"10.5281/zenodo.14662535","title":"GBADs Data Quality Insights","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Census; Data quality; Python (programming language); Garbage; China; Quality (philosophy); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03220482,0.001781621,0.001530964,0.01192212,0.001955656,0.01128183,0.00352635,0.002178961,0.1380774],"category_scores_gemma":[0.1770413,0.001787909,0.002016712,0.02315751,0.001655366,0.01106002,0.01029373,0.004411386,0.08956656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004782066,"about_ca_system_score_gemma":0.0115266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05847422,"about_ca_topic_score_gemma":0.04646127,"domain_scores_codex":[0.9673822,0.009568656,0.00347838,0.003159502,0.01471932,0.001691963],"domain_scores_gemma":[0.9089911,0.03280421,0.004670944,0.0196761,0.03143173,0.002425859],"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":[0.00009488782,0.0000224983,0.003210647,0.0004286797,0.00003760397,0.00004826787,0.0004868341,0.000742635,0.0001184311,0.0101104,0.9610335,0.02366567],"study_design_scores_gemma":[0.00003684263,0.00001072485,0.003060553,0.0005075884,0.00001402442,0.00006932398,0.0004837206,0.001135044,0.0002544023,0.01066413,0.9837209,0.00004277656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002914054,0.0009723128,0.02617496,0.01886686,0.001837953,0.0006437628,0.8374435,0.0465083,0.06463823],"genre_scores_gemma":[0.02191878,0.001525384,0.07270755,0.006300228,0.0004824017,0.001545108,0.829833,0.04202332,0.02366429],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8619226,"threshold_uncertainty_score":0.4619148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09292252016301876,"score_gpt":0.3228605814115215,"score_spread":0.2299380612485027,"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."}}