{"id":"W2092155119","doi":"10.1002/bip.22182","title":"PDB40: The Protein Data Bank celebrates its 40th birthday","year":2012,"lang":"en","type":"editorial","venue":"Biopolymers","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Data bank; Protein Data Bank; Biochemistry; Protein structure; Telecommunications; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009190202,0.004507267,0.00436429,0.004752754,0.003956775,0.01389315,0.006195667,0.006248465,0.07739778],"category_scores_gemma":[0.01815192,0.002359545,0.002177205,0.0104683,0.001674708,0.01025363,0.008616847,0.01249889,0.1741552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004738602,"about_ca_system_score_gemma":0.01029988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008053344,"about_ca_topic_score_gemma":0.007898916,"domain_scores_codex":[0.9943593,0.0009486667,0.0004510113,0.0008913619,0.002644467,0.0007052202],"domain_scores_gemma":[0.9927682,0.0005499502,0.0004419464,0.001241605,0.002575306,0.002422998],"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":[0.00005209092,0.000009296661,0.00007082858,0.0001529309,0.00001455904,0.00002119076,0.00002655958,0.0000348121,0.0003557791,0.001777959,0.9870803,0.01040369],"study_design_scores_gemma":[0.00002765971,0.000008154374,0.0002218053,0.0001230687,0.00001107454,0.00004569587,0.00001862796,0.0000743853,0.0001914368,0.00173674,0.9975228,0.00001849992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"editorial","genre_scores_codex":[0.003058325,0.05955458,0.02725814,0.07232318,0.06116058,0.0005815076,0.5811104,0.08018658,0.1147667],"genre_scores_gemma":[0.006383615,0.03213701,0.03805964,0.01868535,0.003594136,0.0008049902,0.8280949,0.01319705,0.05904329],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07739778,"threshold_uncertainty_score":0.2589214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146719686871926,"score_gpt":0.261370081992207,"score_spread":0.2399028851234878,"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."}}