{"id":"W2803612378","doi":"10.1021/jacs.8b03228","title":"Internal Electric Field Modulation in Molecular Electronic Devices by Atmosphere and Mobile Ions","year":2018,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta; Alberta Innovates - Technology Futures","keywords":"Chemistry; Atmosphere (unit); Electric field; Modulation (music); Ion; Field (mathematics); Chemical physics; Organic chemistry; Meteorology; Physics","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":[0.00006727299,0.00007012494,0.0001282756,0.000003585575,0.00002905667,0.000009454567,0.0001313309,0.00002472369,0.000004228495],"category_scores_gemma":[0.00002061459,0.0000520217,0.00009045857,0.0002166821,0.00003981131,0.00006283556,0.00003025088,0.0003546785,3.044471e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008959347,"about_ca_system_score_gemma":0.00001005276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005562868,"about_ca_topic_score_gemma":6.925821e-7,"domain_scores_codex":[0.9995135,0.00001429263,0.0001617392,0.00006162446,0.00008617861,0.0001626376],"domain_scores_gemma":[0.9997141,0.0000630944,0.0001087654,0.0000575903,0.0000231646,0.00003323888],"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":[0.00001014996,0.000008103204,0.0008097608,0.000004932636,0.00002069295,4.957906e-7,0.00009866842,0.002435682,0.9878082,0.000002841433,0.000545641,0.008254882],"study_design_scores_gemma":[0.0001652668,0.0001453089,0.0006064412,0.00003071451,0.00001134127,0.0000367375,0.00007767271,0.0378542,0.9599718,0.0002882531,0.000728119,0.0000841736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928973,0.000487969,0.006377438,0.0001211844,0.00003850069,0.00003251543,1.898628e-7,0.00001137153,0.00003350527],"genre_scores_gemma":[0.998637,0.0001105052,0.0007735956,0.0003727357,0.0000925493,8.964801e-7,9.192679e-8,0.000008439526,0.000004210394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03541852,"threshold_uncertainty_score":0.2121384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002958327723466264,"score_gpt":0.2269999761253038,"score_spread":0.2240416484018375,"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."}}