{"id":"W1969651225","doi":"10.1021/acs.analchem.5b00170","title":"Picodiscs for Facile Protein-Glycolipid Interaction Analysis","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Alberta Glycomics Centre; University Health Network","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre; Canadian Institutes of Health Research; National Science Council","keywords":"Glycolipid; Chemistry; Electrospray ionization; Hydrolysis; Biochemistry; Mass spectrometry; Sphingolipid; Enzyme; Electrospray mass spectrometry; Chromatography; Electrospray","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001819962,0.0003446024,0.0001547784,0.000255003,0.0001349144,0.000240796,0.0003153416,0.0002434927,0.0008365358],"category_scores_gemma":[0.0002208408,0.0001268848,0.0001230372,0.0002177737,0.0002041085,0.0001874391,0.0002364048,0.0005277706,0.000272172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002511571,"about_ca_system_score_gemma":0.000137098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002794845,"about_ca_topic_score_gemma":0.0008150708,"domain_scores_codex":[0.9998556,0.00001199428,0.000007527045,0.00003673684,0.00007591888,0.00001223082],"domain_scores_gemma":[0.9998883,0.00003944805,0.00001953604,0.00001564188,0.00001721889,0.00001987668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000105201,0.000004355189,0.00004427827,0.00001569917,0.000001446782,0.00001117532,0.000004248961,0.00003952462,0.9973497,0.000130305,0.00004829421,0.00234058],"study_design_scores_gemma":[0.000003054594,0.00002418452,0.0006328602,0.000002383433,0.000004509199,0.0001390174,0.000004043166,0.001752851,0.995003,0.00007745188,0.002353027,0.000003570637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6335008,0.006586973,0.3489115,0.000330716,0.0001660775,0.0002518809,0.001610097,0.001890827,0.00675117],"genre_scores_gemma":[0.8458126,0.003472432,0.1443328,0.0002137738,0.00004853314,0.0003207741,0.001348765,0.000148196,0.004302271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008365358,"threshold_uncertainty_score":0.002798438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829821493152678,"score_gpt":0.2886410012201353,"score_spread":0.2703427862886085,"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."}}