{"id":"W2595190647","doi":"10.15785/sbgrid/127","title":"X-Ray Diffraction data from Delta25/R222A/K223A mutant of Mg++ channel CorA from Thermotoga maritima in the presence of Cs+-ions, source of 4EEB structure","year":2015,"lang":"en","type":"dataset","venue":"Harvard  SBGrid","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Thermotoga maritima; Ion; Mutant; Crystallography; X-ray; Diffraction; Channel (broadcasting); Geology; Chemistry; Materials science; Physics; Optics; Computer science; Biochemistry; Gene; Telecommunications","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":[0.0008919329,0.004804745,0.004625257,0.003156645,0.002292031,0.002265705,0.004870319,0.003447468,0.03734177],"category_scores_gemma":[0.002465152,0.001604462,0.002223869,0.009827772,0.0007282965,0.001837922,0.001553697,0.003619869,0.03077046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689296,"about_ca_system_score_gemma":0.005885905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04132915,"about_ca_topic_score_gemma":0.08849721,"domain_scores_codex":[0.9990473,0.00009076843,0.00009942529,0.0002923945,0.0003287987,0.0001411798],"domain_scores_gemma":[0.9991466,0.0001680647,0.0001031459,0.0001826973,0.0002564811,0.0001430555],"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":[0.00080839,0.000152341,0.002621067,0.005362167,0.0004065135,0.0002001205,0.000114229,0.001689492,0.006163335,0.001036763,0.9771438,0.004301768],"study_design_scores_gemma":[0.002100235,0.0001388738,0.0180894,0.0005866123,0.0005355991,0.0003909757,0.0002385549,0.001782406,0.005939836,0.002361163,0.9676918,0.0001445273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001759513,0.0006702054,0.0001437783,0.00008829015,0.00003677169,0.00001641793,0.9946346,0.00144815,0.001202203],"genre_scores_gemma":[0.001752677,0.0003319364,0.0004815311,0.00003986058,0.000003605507,0.00004945307,0.9966522,0.0002071446,0.0004815895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04132915,"threshold_uncertainty_score":0.1249207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601959582866193,"score_gpt":0.2761354640719593,"score_spread":0.2401158682432973,"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."}}