{"id":"W1970976984","doi":"10.1021/cg201443s","title":"Selective Crystallization of Proteins Using Engineered Nanonucleants","year":2012,"lang":"en","type":"article","venue":"Crystal Growth & Design","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Biotechnology and Biological Sciences Research Council; Imperial College London","keywords":"Crystallization; Protein crystallization; Radius of gyration; Supersaturation; Macromolecule; Nucleation; Chemical engineering; Chemistry; Materials science; Gyration; Crystallography; Polymer; Organic chemistry; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0006581217,0.0002009876,0.0002998476,0.0001209351,0.0001897625,0.00003998872,0.0001652788,0.00009424816,0.0003022274],"category_scores_gemma":[0.0004088318,0.0001914118,0.00006933678,0.0004344887,0.0001432718,0.0005229294,0.00007879111,0.00006756883,0.00001537908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134787,"about_ca_system_score_gemma":0.00008083817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003451343,"about_ca_topic_score_gemma":0.000003075318,"domain_scores_codex":[0.9983614,0.000203308,0.0004057735,0.0002479092,0.0003440853,0.0004375431],"domain_scores_gemma":[0.9990324,0.0001044353,0.000190017,0.000203667,0.0003456098,0.0001239192],"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":[0.0000604913,0.000166035,0.001050887,0.0001086328,0.0000183505,6.0944e-7,0.002334755,0.000859714,0.9935368,0.001673951,0.0001620775,0.00002767651],"study_design_scores_gemma":[0.0006947028,0.0001882342,0.004727577,0.00009553655,0.00006415931,0.0000131932,0.0007412038,0.004469463,0.9873209,0.000755078,0.0004594418,0.0004704845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4468712,0.0001909113,0.5514891,0.00001430582,0.0001989249,0.0005901958,0.00001992514,0.0001118942,0.0005135397],"genre_scores_gemma":[0.9769791,0.00001057793,0.02271015,0.00002896228,0.00009938692,0.00002402421,0.000006141686,0.0000332588,0.0001084471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5301079,"threshold_uncertainty_score":0.7805548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502396573960107,"score_gpt":0.2623072203816044,"score_spread":0.2172832546420033,"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."}}