{"id":"W4252899169","doi":"10.1101/gr.gr1644r","title":"A Method For Parallel, Automated, Thermal Cycling of Submicroliter Samples","year":2001,"lang":"en","type":"article","venue":"Genome Research","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":6,"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":"Biology; DNA sequencing; Temperature cycling; Computational biology; Fraction (chemistry); Cycling; Sample (material); Biochemical engineering; Reliability engineering; Computer science; DNA; Process engineering; Thermal; Chromatography; Genetics; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002135717,0.002126542,0.001754209,0.002242614,0.001588345,0.001274681,0.002622666,0.001440509,0.006219789],"category_scores_gemma":[0.003920344,0.001633502,0.000925881,0.001359633,0.0009759315,0.001284597,0.002064189,0.003726963,0.007850134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006852595,"about_ca_system_score_gemma":0.001703712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007595685,"about_ca_topic_score_gemma":0.003173245,"domain_scores_codex":[0.9964959,0.0003792203,0.000290138,0.001310596,0.001341872,0.0001823345],"domain_scores_gemma":[0.997637,0.000725487,0.000192883,0.0008506646,0.0004446601,0.0001492449],"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":[0.0001932393,0.0002224941,0.000359706,0.0003490088,0.00007575959,0.0001103566,0.0001604097,0.0006482543,0.9033128,0.00122555,0.005817318,0.087525],"study_design_scores_gemma":[0.0001439345,0.0005205634,0.001494972,0.00007396133,0.0001071135,0.0007800948,0.00006690157,0.01769481,0.9025666,0.00253602,0.07383465,0.0001803442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01009636,0.001247789,0.9738408,0.000319006,0.000683095,0.001610552,0.0008918652,0.008886958,0.002423681],"genre_scores_gemma":[0.03941682,0.001156429,0.9445132,0.0004566942,0.0001125208,0.005183585,0.001790508,0.001205367,0.006164822],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006219789,"threshold_uncertainty_score":0.02080721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08948869781072281,"score_gpt":0.3932200929707012,"score_spread":0.3037313951599783,"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."}}