{"id":"W2082277797","doi":"10.1016/s0003-2697(03)00090-3","title":"Modeling of DNA hybridization kinetics for spatially resolved biochips","year":2003,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Biochip; Microfluidics; Biological system; DNA–DNA hybridization; Hybridization probe; Nanotechnology; Chip; Lab-on-a-chip; Nucleic acid thermodynamics; Computer science; DNA; Materials science; Computational biology; Biology; Base sequence; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008784856,0.000105058,0.0001390893,0.00003637719,0.00002117786,0.000008840951,0.0001014833,0.0001305092,0.000006233105],"category_scores_gemma":[0.0004101362,0.0001090248,0.00006445138,0.0001350379,0.00004288785,0.00001292502,0.00001023707,0.00008653344,0.000001294887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978585,"about_ca_system_score_gemma":0.00002065513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001593157,"about_ca_topic_score_gemma":3.663407e-7,"domain_scores_codex":[0.9993652,0.000004097955,0.0002215802,0.0001392131,0.0000718839,0.0001980049],"domain_scores_gemma":[0.999646,0.00003623339,0.00001804239,0.0001988173,0.00006633344,0.00003455104],"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":[0.000003934444,0.00001894734,0.00001769011,0.0001098061,0.00002986279,4.521654e-7,0.000005485775,0.002946408,0.9945909,0.0008396792,0.0005714453,0.0008653586],"study_design_scores_gemma":[0.0001432066,0.00002566954,6.337856e-7,0.00002409369,0.00002930751,0.000002258862,0.00001983092,0.1081,0.8906064,0.000599761,0.000342334,0.0001065192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7282539,0.0009866497,0.2684195,0.00006313917,0.00003891849,0.00007380528,0.00001310492,0.000267643,0.001883344],"genre_scores_gemma":[0.9951966,0.00008805577,0.004558575,0.00001081254,0.00002421368,0.000005571931,0.00002436144,0.00001879731,0.00007305948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2669427,"threshold_uncertainty_score":0.4445901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113348839854756,"score_gpt":0.2180065468642176,"score_spread":0.2068730584656701,"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."}}