{"id":"W3024527028","doi":"10.1149/ma2020-01302259mtgabs","title":"Unsupervised Idealization of Nano-Electronic Sensors Recordings with Concept Drifts: An Information Theory Approach for Non-Stationary Single-Molecule Data Analysis","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biological system; Molecule; Chemistry; Nanotechnology; Computer science; Materials science","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":[0.001933134,0.0008185866,0.0009328471,0.001242026,0.0004884637,0.001329616,0.0018903,0.001169525,0.001331973],"category_scores_gemma":[0.005092995,0.0005466255,0.000944063,0.0007746166,0.00155969,0.001802665,0.001305972,0.001519933,0.000550168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009829988,"about_ca_system_score_gemma":0.0009633789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009697229,"about_ca_topic_score_gemma":0.0006345662,"domain_scores_codex":[0.9989384,0.0002586913,0.00006835777,0.0002610807,0.0003740779,0.00009948549],"domain_scores_gemma":[0.9976018,0.001461147,0.000277706,0.0002391595,0.0003368099,0.0000834185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002369304,0.0001166749,0.001783779,0.0003752129,0.000115011,0.0003874533,0.000401715,0.6315129,0.02802916,0.1989067,0.002661414,0.1354731],"study_design_scores_gemma":[0.000001649914,0.00001165209,0.0001021063,0.000006201475,0.000003122621,0.0000232774,0.000007125659,0.9843859,0.001580752,0.01352879,0.0003438333,0.000005693968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006530335,0.0001458286,0.9924855,0.0000814292,0.0000144352,0.00002621641,0.00008347144,0.0001509848,0.0004817594],"genre_scores_gemma":[0.5167834,0.00102703,0.4776148,0.0001664083,0.0002386204,0.0003473927,0.0008488616,0.0002590445,0.002714624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001933134,"threshold_uncertainty_score":0.01022351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017918881452091,"score_gpt":0.2351827426949298,"score_spread":0.2172638612428388,"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."}}