{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053205,0.000609397,0.0005784577,0.0006509865,0.000478176,0.001169993,0.001407443,0.0009382107,0.006395831],"category_scores_gemma":[0.001874393,0.0007175458,0.0005780807,0.0003316872,0.0006178828,0.00104027,0.001631518,0.00181159,0.003589517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009396914,"about_ca_system_score_gemma":0.0010102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811314,"about_ca_topic_score_gemma":0.002300661,"domain_scores_codex":[0.9987096,0.00008026355,0.00005319647,0.0003336602,0.0007063587,0.0001169949],"domain_scores_gemma":[0.9990345,0.000258217,0.00009109159,0.000232806,0.0002608851,0.0001224696],"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":[0.0001583729,0.00005309113,0.000624378,0.0001503425,0.00001458069,0.0001470714,0.0001530856,0.0005957211,0.9554893,0.002436129,0.004395298,0.03578267],"study_design_scores_gemma":[0.00005481645,0.0004879507,0.003663653,0.0000379308,0.00004098068,0.0007386762,0.00008237483,0.0187198,0.8771952,0.0010034,0.09785242,0.0001228341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4023776,0.002674484,0.5286001,0.003300818,0.001761814,0.0008422963,0.002766742,0.0280926,0.02958355],"genre_scores_gemma":[0.4500479,0.001878371,0.5007014,0.001046044,0.0003321283,0.0008146246,0.002487115,0.002768705,0.0399238],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006395831,"threshold_uncertainty_score":0.02139616,"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."}}