{"id":"W3163232381","doi":"10.1107/s2059798321003855","title":"A simple vapor-diffusion method enables protein crystallization inside the HARE serial crystallography chip","year":2021,"lang":"en","type":"article","venue":"Acta Crystallographica Section D Structural Biology","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Eye Institute; Deutsches Elektronen-Synchrotron; National Institutes of Health; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Fulbright Association; Joachim Herz Stiftung","keywords":"Crystallization; Protein crystallization; Crystallography; Materials science; Chip; Diffusion; Biological system; Chemistry; Computer science; Thermodynamics; Physics; Biology","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":[0.0002496244,0.0003853517,0.0005463772,0.0001731481,0.0002627115,0.0003907152,0.0006267282,0.000370181,0.001264019],"category_scores_gemma":[0.0002662564,0.0003206815,0.000387233,0.0001223826,0.0003322332,0.0003163501,0.0005383777,0.001088903,0.0008776116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355586,"about_ca_system_score_gemma":0.0003360249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005064672,"about_ca_topic_score_gemma":0.0008462955,"domain_scores_codex":[0.9997346,0.00002198942,0.00001391484,0.000106409,0.00009172399,0.00003134788],"domain_scores_gemma":[0.9998241,0.00004770145,0.00002716486,0.00005373397,0.00002920858,0.00001813325],"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":[0.00001954296,0.00001918307,0.0001359221,0.00005283816,0.000007549731,0.00006340815,0.00002415066,0.0002347679,0.9948997,0.0005878975,0.0004391492,0.00351585],"study_design_scores_gemma":[0.000009327311,0.0000546915,0.000647277,0.000005428994,0.000009020153,0.0001564085,0.00001184785,0.003831785,0.9839348,0.00009302327,0.0112312,0.00001509042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4634724,0.002423317,0.5159962,0.0008322355,0.0005208727,0.0004199107,0.002046721,0.004338055,0.00995035],"genre_scores_gemma":[0.6238506,0.001810855,0.3634992,0.0002981613,0.0000765451,0.0006546701,0.001920374,0.0003346386,0.007555066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001264019,"threshold_uncertainty_score":0.004228532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207124352936669,"score_gpt":0.2540449194689074,"score_spread":0.2419736759395407,"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."}}