{"id":"W6905000800","doi":"10.15151/esrf-es-1979042716","title":"Munich Crystallography BAG","year":2025,"lang":"en","type":"dataset","venue":"European Synchrotron Radiation Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"European Synchrotron Radiation Facility","keywords":"Folding (DSP implementation); Protein folding; Chromatin; RNA; Group (periodic table); Range (aeronautics)","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":[],"consensus_categories":[],"category_scores_codex":[0.002456001,0.005170573,0.005791767,0.007108904,0.002661458,0.00615084,0.007093573,0.003836084,0.2218393],"category_scores_gemma":[0.009006045,0.001639712,0.001787337,0.01605556,0.0009657338,0.004182689,0.003676536,0.004133041,0.2780828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404396,"about_ca_system_score_gemma":0.007868115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552233,"about_ca_topic_score_gemma":0.02731784,"domain_scores_codex":[0.9974245,0.0004711805,0.0002880613,0.0008720821,0.0005327925,0.0004113455],"domain_scores_gemma":[0.997558,0.0006010584,0.0003262206,0.0006799396,0.0005329705,0.0003018247],"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":[0.0001471397,0.00001729364,0.0003647292,0.001491454,0.00004805645,0.00003335017,0.00003489036,0.0001791548,0.0002069998,0.001638179,0.9925674,0.003271372],"study_design_scores_gemma":[0.0002391252,0.00001077507,0.0007718226,0.0002941406,0.00004469222,0.00005484623,0.00004360904,0.0001416973,0.0002620205,0.002038514,0.9960757,0.00002306857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001060856,0.0003776651,0.0001355965,0.0001155362,0.00003076181,0.00001693939,0.9963987,0.0008046274,0.002014027],"genre_scores_gemma":[0.0003520898,0.0002507319,0.0005241894,0.00006402745,0.000007212094,0.0001089494,0.9977043,0.0002175011,0.000771091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2218393,"threshold_uncertainty_score":0.7421262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103888836082793,"score_gpt":0.2502147205935675,"score_spread":0.2398258369852882,"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."}}