{"id":"W2334754557","doi":"10.1021/cg500450b","title":"Growth of Diffraction-Quality Protein Crystals Using a Harvestable Microfluidic Device","year":2014,"lang":"en","type":"article","venue":"Crystal Growth & Design","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Protein crystallization; Microfluidics; Diffraction; Crystallization; Crystal (programming language); Materials science; Crystallography; Bottleneck; Nanotechnology; Chemistry; Computer science; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004785558,0.0004387652,0.0006090945,0.0003349409,0.0003814435,0.0005768487,0.0005915161,0.0004682482,0.0008614135],"category_scores_gemma":[0.0004625024,0.0003339718,0.0003507436,0.0004374222,0.000307038,0.0004680695,0.0004680808,0.0007576809,0.0006422556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007410598,"about_ca_system_score_gemma":0.0007201367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144969,"about_ca_topic_score_gemma":0.002096276,"domain_scores_codex":[0.9997153,0.00002032823,0.00004184553,0.00008739058,0.00009479122,0.00004046393],"domain_scores_gemma":[0.9996694,0.0001028882,0.00008630304,0.00006486369,0.00003249734,0.00004398731],"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":[0.00003492608,0.00003264852,0.0002284386,0.00003555934,0.000004355752,0.00006189435,0.00002995714,0.0004735575,0.9969054,0.0003109376,0.00020215,0.00168019],"study_design_scores_gemma":[0.00001846121,0.00007318987,0.0005095214,0.000004342189,0.000005079197,0.00004649423,0.00001236029,0.005255756,0.9915046,0.00008349941,0.002475057,0.00001158822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716058,0.0009610114,0.1159735,0.0005631339,0.000249665,0.0004417773,0.004268452,0.001954392,0.003982322],"genre_scores_gemma":[0.7407935,0.001346218,0.2478385,0.0001295163,0.00005655073,0.0007166584,0.003218478,0.0002370498,0.005663528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144969,"threshold_uncertainty_score":0.005376816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114835989465431,"score_gpt":0.2967833032812626,"score_spread":0.2556349433866082,"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."}}