{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007962566,0.0001354708,0.0002189772,0.0000965533,0.00008865204,0.00004512525,0.0001967178,0.00007315588,0.000006410924],"category_scores_gemma":[0.00002644213,0.0001138983,0.00007314933,0.000187358,0.0000567495,0.00009351075,0.00003463934,0.0002696442,0.00001947466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009701888,"about_ca_system_score_gemma":0.0000101201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002156464,"about_ca_topic_score_gemma":0.000002273312,"domain_scores_codex":[0.9992541,0.00002044235,0.00027183,0.0001091112,0.0001394239,0.0002050704],"domain_scores_gemma":[0.9995921,0.0000362727,0.00006742381,0.0001900691,0.00004694747,0.00006719086],"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":[0.00001388411,0.0005405255,0.00006063821,0.00002220914,0.00005158756,0.00001624606,0.0002032304,0.000117005,0.9532489,0.0001853502,0.0008409624,0.04469952],"study_design_scores_gemma":[0.00211913,0.0007872163,0.001222863,0.00009201383,0.00008025556,0.0001196632,0.0007048079,0.0416462,0.9519747,0.0001619861,0.000775688,0.0003154867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864103,0.00007027257,0.01280692,0.0001232315,0.0001733213,0.0001121452,0.000003609574,0.0002168706,0.00008335516],"genre_scores_gemma":[0.9986614,0.00004960596,0.0009180565,0.00001207072,0.0003242298,0.000001878689,0.000001672139,0.0000183645,0.00001274765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04438403,"threshold_uncertainty_score":0.4644638,"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."}}