{"id":"W2075930146","doi":"10.1002/pro.193","title":"Determination and application of empirically derived detergent phase boundaries to effectively crystallize membrane proteins","year":2009,"lang":"en","type":"article","venue":"Protein Science","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; National Center for Research Resources; National Institute of General Medical Sciences; National Science Foundation; National Institutes of Health; School of Medicine, New York University; York University","keywords":"Crystallization; Protein crystallization; Membrane; Membrane protein; Phase (matter); Lipid bilayer; Chemistry; Phase boundary; Structural biology; Solubility; Structural genomics; Chemical engineering; Materials science; Protein structure; Biochemistry; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003317327,0.0001197266,0.0001206816,0.00007701685,0.0002090146,0.0000739949,0.0002381743,0.00006337168,0.000001623304],"category_scores_gemma":[0.0002919581,0.0001076696,0.00002730187,0.0002748237,0.0004101276,0.00001831073,0.00009145258,0.00004492506,8.174372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215119,"about_ca_system_score_gemma":0.0001565151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001397203,"about_ca_topic_score_gemma":0.00002031803,"domain_scores_codex":[0.9989352,0.00002922309,0.0001822651,0.0004095743,0.0002417053,0.0002020957],"domain_scores_gemma":[0.999322,0.000004438504,0.0001040485,0.000262327,0.0001932551,0.0001139089],"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":[0.0001090348,0.00004361942,0.00004995207,0.00001808365,0.00000203578,4.470865e-7,0.0001161175,0.00001535521,0.9297124,0.0002141582,9.36118e-7,0.06971791],"study_design_scores_gemma":[0.0004092833,0.001082271,0.002750808,0.00001479407,0.000005033028,0.000007150485,0.000009718485,0.001343126,0.9922521,0.001065133,0.0009260136,0.0001346324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373405,0.00006368657,0.2612351,0.0001525331,0.00001409722,0.001100723,0.000006619024,0.000009163318,0.0000775789],"genre_scores_gemma":[0.9642026,0.000004303316,0.03549271,0.0001371157,0.00002805705,0.0001053736,0.0000073333,0.000005546498,0.00001694896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2268622,"threshold_uncertainty_score":0.439064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006230215105346971,"score_gpt":0.2888235307838544,"score_spread":0.2825933156785074,"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."}}