{"id":"W1984342172","doi":"10.1529/biophysj.104.051904","title":"Solid Phase DNA Amplification: A Brownian Dynamics Study of Crowding Effects","year":2005,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Fonds pour la Formation de Chercheurs et l'Aide à la Recherche; University of Ottawa","keywords":"Brownian dynamics; Molecule; DNA; Steric effects; Brownian motion; Primer (cosmetics); Molecular dynamics; Phase (matter); Monte Carlo method; Thermal fluctuations; Chemical physics; Gene duplication; Chemistry; Exponential growth; Crystallography; Physics; Computational chemistry; Thermodynamics; Stereochemistry; Mathematics","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":[0.0002038019,0.0002706626,0.000327003,0.0002108129,0.0003283006,0.0004749389,0.0004895901,0.000515671,0.000860407],"category_scores_gemma":[0.0004183235,0.0002139233,0.0001744843,0.0002446197,0.0006113531,0.0004873791,0.0004427989,0.0007085162,0.0001998512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744888,"about_ca_system_score_gemma":0.000284155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009757167,"about_ca_topic_score_gemma":0.0005537049,"domain_scores_codex":[0.9998197,0.00002295327,0.000004183603,0.00004453935,0.00007782971,0.00003082527],"domain_scores_gemma":[0.999773,0.0001175027,0.00002623244,0.00001850323,0.00002615416,0.00003870756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006888133,0.00004074317,0.0001018904,0.00002603999,0.000004005602,0.00004303127,0.0000526234,0.0005123182,0.9962275,0.0008350884,0.00004897992,0.002038897],"study_design_scores_gemma":[0.0000514082,0.0002255957,0.001003769,0.000004542228,0.00001153582,0.0001749104,0.0000427822,0.0378377,0.958291,0.0004207701,0.001920271,0.00001574067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817923,0.000739303,0.01527759,0.000168389,0.00003389499,0.00004577739,0.00004788268,0.0000477842,0.001846983],"genre_scores_gemma":[0.9879424,0.0004943264,0.008925424,0.00004079485,0.0000175134,0.0000345472,0.00007927293,0.00002374582,0.002441887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009757167,"threshold_uncertainty_score":0.002878308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277910039092387,"score_gpt":0.28544123931165,"score_spread":0.2726621389207261,"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."}}