{"id":"W2990393593","doi":"10.1149/2.0731915jes","title":"Flux: Software for Analysing SECM Data","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Research Council Canada","keywords":"Workflow; Python (programming language); Software; Scripting language; Disk formatting; Computer science; Integrator; Flux (metallurgy); Normalization (sociology); Computational science; Materials science; Electrical engineering; Voltage; Programming language; Operating system; Engineering; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004300938,0.003340958,0.00237853,0.003636196,0.000945008,0.002742834,0.002931895,0.001261295,0.08506757],"category_scores_gemma":[0.007331737,0.001579445,0.001596032,0.001999087,0.0007680433,0.0026566,0.002406857,0.003097113,0.04994038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000885615,"about_ca_system_score_gemma":0.002326904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103539,"about_ca_topic_score_gemma":0.0010061,"domain_scores_codex":[0.9980566,0.0002449382,0.000359942,0.0005054367,0.0006631806,0.0001698762],"domain_scores_gemma":[0.9973933,0.001083532,0.0002927182,0.0004056149,0.0006639615,0.0001609489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001763723,0.0004089946,0.004898606,0.005581958,0.0006306325,0.0009336068,0.0009516212,0.004211143,0.07950547,0.01138037,0.6777658,0.2119682],"study_design_scores_gemma":[0.0005153719,0.0003218078,0.009593243,0.0007849813,0.000207978,0.001522884,0.0002211545,0.07281035,0.1347037,0.01654727,0.7623219,0.0004493748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0036516,0.0003783194,0.321732,0.0002879887,0.0002895844,0.0006133157,0.05668505,0.610798,0.005564187],"genre_scores_gemma":[0.02364646,0.001062679,0.5790581,0.001293267,0.0002299401,0.006710658,0.1412111,0.2300721,0.01671561],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08506757,"threshold_uncertainty_score":0.2845794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340878279212829,"score_gpt":0.2623471681021773,"score_spread":0.2489383853100491,"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."}}