{"id":"W4391693449","doi":"10.1103/physreve.109.024404","title":"Free-energy measuring nanopore device","year":2024,"lang":"en","type":"article","venue":"Physical review. E","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; University of Washington","keywords":"Nanopore; Molecule; Optical tweezers; Measure (data warehouse); Nanotechnology; Chemical physics; Molecular dynamics; Work (physics); Sampling (signal processing); Statistical physics; Materials science; Physics; Computational chemistry; Chemistry; Computer science; Quantum mechanics; Optics; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000518286,0.0003519766,0.0005092766,0.0004790732,0.0006029428,0.0004325478,0.00163293,0.001352167,0.002590356],"category_scores_gemma":[0.001139861,0.0002518645,0.000201662,0.0003297372,0.000611054,0.0010872,0.0009019996,0.0008084899,0.0005408865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007102892,"about_ca_system_score_gemma":0.0002175204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004007715,"about_ca_topic_score_gemma":0.0005850593,"domain_scores_codex":[0.999286,0.00007649086,0.00003789853,0.0002495213,0.0003034287,0.00004671879],"domain_scores_gemma":[0.9990921,0.0004776052,0.0001057054,0.0001504892,0.000118739,0.00005527526],"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":[0.0001473498,0.00009951642,0.0009518966,0.0002965149,0.00003631205,0.0001618747,0.0001187476,0.001471976,0.941705,0.02048066,0.001833927,0.03269619],"study_design_scores_gemma":[0.00002819516,0.0002241699,0.002498083,0.00004051284,0.00003023454,0.000430259,0.0000708029,0.03144476,0.9382386,0.004690993,0.0222025,0.0001010067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3349241,0.006295659,0.6296002,0.001339782,0.001082818,0.0007194473,0.003930202,0.003473464,0.01863434],"genre_scores_gemma":[0.7227324,0.0009566952,0.2671491,0.0008112281,0.00009164115,0.0007485403,0.0006061823,0.00007713847,0.006827002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002590356,"threshold_uncertainty_score":0.008665621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193633585630271,"score_gpt":0.264422449386477,"score_spread":0.2450590908234499,"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."}}