{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001314198,0.0006329885,0.00131048,0.0004173115,0.0001060636,0.0001155992,0.004332898,0.0006984199,0.003626475],"category_scores_gemma":[0.001052516,0.0004901105,0.0002021536,0.000624945,0.0006684631,0.0006930073,0.001098888,0.0009378826,0.0001048194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008097271,"about_ca_system_score_gemma":0.0003223112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02306586,"about_ca_topic_score_gemma":0.001783783,"domain_scores_codex":[0.9939804,0.0009614024,0.001560071,0.001188044,0.001805646,0.0005044074],"domain_scores_gemma":[0.9911538,0.001504197,0.00235105,0.004407904,0.0004413554,0.000141638],"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":[0.0004774932,0.0004642875,0.000346521,0.0002252006,0.0001283965,0.00002294366,0.0004777195,0.000469214,0.2171897,0.000004427891,0.780102,0.00009211425],"study_design_scores_gemma":[0.002183833,0.0002823476,0.02963365,0.00119731,0.000734935,0.00002247173,0.002797589,0.001177614,0.01037749,0.002227065,0.9483035,0.001062187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1819451,0.0002228922,0.0002635329,0.0000482466,0.001381927,0.0007656654,0.8153176,0.00003130568,0.00002371987],"genre_scores_gemma":[0.250569,0.0004534663,0.0006778597,0.0001013158,0.0004472981,0.00004714379,0.7476419,0.00005172249,0.00001032747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2068122,"threshold_uncertainty_score":0.9997551,"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."}}