{"id":"W2127749254","doi":"10.1101/gr.164401","title":"A Method For Parallel, Automated, Thermal Cycling of Submicroliter Samples","year":2001,"lang":"en","type":"article","venue":"Genome Research","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Human Genome Research Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Temperature cycling; DNA sequencing; Biology; Fraction (chemistry); Cycling; Computational biology; Sample (material); Process engineering; Reliability engineering; Biochemical engineering; Computer science; DNA; Thermal; Chromatography; Genetics; Engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008124672,0.0001052591,0.0001445207,0.00010109,0.0001665124,0.00003029027,0.0002337304,0.0001253152,0.00008930214],"category_scores_gemma":[0.0001088417,0.00009117037,0.000142499,0.0001491154,0.00008354253,0.000003554787,0.0001620732,0.00009320681,0.00001149596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001381565,"about_ca_system_score_gemma":0.00009014983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008927894,"about_ca_topic_score_gemma":0.00001067775,"domain_scores_codex":[0.9986371,0.0001942686,0.0002125712,0.0003200216,0.0001892071,0.0004468276],"domain_scores_gemma":[0.9991525,0.00007470447,0.00005068942,0.000336287,0.0002784962,0.0001073421],"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":[0.0003494495,0.00008361055,0.001728732,0.00005308288,0.00005781035,0.000002312352,0.00005869907,0.0007770975,0.9921753,0.00006829244,0.002266983,0.002378606],"study_design_scores_gemma":[0.002528069,0.001885039,0.0155372,0.00005520527,0.00003307575,0.00005604047,0.0002918701,0.003123343,0.5920687,0.001866007,0.3820054,0.0005499991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741647,0.002553283,0.02117227,0.0001230782,0.00006045635,0.0004825044,0.00008326497,0.00003108443,0.001329374],"genre_scores_gemma":[0.9807415,0.0004780423,0.01705138,0.00009061868,0.0003801504,0.0001677455,0.0001577769,0.00003221002,0.0009005716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4001066,"threshold_uncertainty_score":0.371782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07098239857404116,"score_gpt":0.4242695322389168,"score_spread":0.3532871336648756,"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."}}