{"id":"W6930798008","doi":"10.5281/zenodo.16785093","title":"Nosferatu Merch","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Symphony; Studio; German; Vampire; Subject (documents)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003997613,0.0002054431,0.000179867,0.0001166113,0.001135677,0.0004036211,0.001334445,0.0003017081,0.002570001],"category_scores_gemma":[0.0007571984,0.0001916792,0.00009361923,0.0002488453,0.0001175756,0.000003614978,0.002626023,0.0003664548,0.0008949469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003591779,"about_ca_system_score_gemma":0.000007564798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150592,"about_ca_topic_score_gemma":4.456404e-7,"domain_scores_codex":[0.9983535,0.0003091784,0.0002261004,0.0005882239,0.0001867477,0.0003362214],"domain_scores_gemma":[0.9988015,0.00001105401,0.0000888116,0.0006438216,0.0003461776,0.0001086264],"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":[0.00004009174,0.00006979486,1.553507e-7,0.00006762611,0.00005120915,0.000007091553,0.00000509789,0.000004669055,0.006249312,0.00004302485,0.9803867,0.01307526],"study_design_scores_gemma":[0.0002023218,0.0003123936,0.00001258788,0.000035185,0.00002005275,0.00003088166,0.00001382272,0.000006154873,0.0008575423,0.00001609403,0.9982768,0.0002161591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005776894,0.0003204709,0.0003686861,0.0002343821,0.0002552816,0.000336449,0.9719189,0.0001579174,0.02583021],"genre_scores_gemma":[0.001554328,0.0003711932,0.00006360031,0.0003980207,0.00041736,2.833345e-8,0.9955401,0.0002381391,0.001417263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02441295,"threshold_uncertainty_score":0.999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459623281316801,"score_gpt":0.2639082806090704,"score_spread":0.2393120477959024,"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."}}