{"id":"W3113525102","doi":"10.1107/s2059798320014114","title":"The low-cost Shifter microscope stage transforms the speed and robustness of protein crystal harvesting","year":2020,"lang":"en","type":"article","venue":"Acta Crystallographica Section D Structural Biology","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genentech; University of Oxford; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; Wellcome Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University; Pfizer","keywords":"Microscope; Software; Computer science; Robustness (evolution); Workflow; Computer hardware; Automation; Materials science; Optics; Mechanical engineering; Engineering; Operating system; Physics; Database","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":[0.0003086217,0.0002443999,0.0002658809,0.00005794854,0.0006645104,0.0001367247,0.0003336588,0.0001962805,0.0001385634],"category_scores_gemma":[0.0001242784,0.0001250127,0.0001049075,0.0003970308,0.000931682,0.0002553492,0.00008743411,0.0003462424,2.415214e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001345987,"about_ca_system_score_gemma":0.0000332392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001480734,"about_ca_topic_score_gemma":0.0003261282,"domain_scores_codex":[0.9983901,0.0002232658,0.0004383838,0.0004212013,0.0001447143,0.000382304],"domain_scores_gemma":[0.9991491,0.0001506723,0.0002607151,0.000239449,0.0001028612,0.00009722492],"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":[0.0002680909,0.000002749159,0.001178319,0.00004928142,0.00002423478,6.10462e-7,0.0003250533,0.00007281246,0.9967138,0.0003301657,0.00003283022,0.001002025],"study_design_scores_gemma":[0.005300027,0.003048423,0.1265765,0.00016244,0.0002766454,0.0003563332,0.004379077,0.003335029,0.749273,0.006707767,0.09843327,0.002151432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952022,0.0001373828,0.0009963865,0.002009072,0.000688607,0.0007044345,0.000081132,0.00007825147,0.000102478],"genre_scores_gemma":[0.9991926,0.00003086776,0.0001777317,0.0001636078,0.0003279997,0.00002236337,0.00002460926,0.00001729378,0.00004290161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474408,"threshold_uncertainty_score":0.5110944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293702799485018,"score_gpt":0.2320061059310397,"score_spread":0.2190690779361895,"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."}}