{"id":"W3135828624","doi":"10.1039/d1sc00672j","title":"Optimised power harvesting by controlling the pressure applied to molecular junctions","year":2021,"lang":"en","type":"article","venue":"Chemical Science","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"Wolfson College, University of Oxford; Engineering and Physical Sciences Research Council; European Commission; Royal Society; Leverhulme Trust","keywords":"Flexibility (engineering); Thermoelectric effect; Seebeck coefficient; Materials science; Nanotechnology; Power (physics); Optoelectronics; Electrical engineering; Engineering physics; Engineering; Physics; Thermodynamics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000544725,0.0005334088,0.0005927407,0.0001736984,0.000430069,0.0009441782,0.0006746189,0.0005455478,0.001843401],"category_scores_gemma":[0.001117936,0.0002917881,0.0001784153,0.0003535232,0.0005115784,0.001095527,0.0004645758,0.0008089172,0.00058704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728232,"about_ca_system_score_gemma":0.0003033543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001648342,"about_ca_topic_score_gemma":0.0004032443,"domain_scores_codex":[0.9996933,0.00003036107,0.00002432829,0.00006947684,0.0001234498,0.00005916651],"domain_scores_gemma":[0.9996307,0.000178261,0.00006444148,0.0000494106,0.00005978455,0.0000173158],"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":[0.00009884906,0.0000399006,0.0001847307,0.0001886293,0.000009634881,0.00007145789,0.00006008601,0.002138088,0.9915849,0.001417024,0.0001863496,0.004020222],"study_design_scores_gemma":[0.00001836653,0.0001250043,0.0003437179,0.000005932078,0.000005383482,0.00003488854,0.00003516264,0.009908876,0.9875407,0.0004219705,0.001544386,0.00001560654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365913,0.001954543,0.05266856,0.0006295886,0.0002780445,0.0001561729,0.0003927991,0.0004518612,0.006877148],"genre_scores_gemma":[0.9796618,0.0009024296,0.01816083,0.00004828955,0.00002370582,0.0001061809,0.0001033804,0.00008036795,0.000913054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001843401,"threshold_uncertainty_score":0.006166756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003250007749004427,"score_gpt":0.1883098816232412,"score_spread":0.1850598738742368,"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."}}