{"id":"W2466879484","doi":"10.1088/0957-4484/27/41/414004","title":"Dispersing artifacts in FT-STS: a comparison of set point effects across acquisition modes","year":2016,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Artifact (error); Set (abstract data type); Range (aeronautics); Sample (material); Energy (signal processing); Constant (computer programming); Point (geometry); Feature (linguistics)","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":[0.00008713172,0.0001290253,0.0003071864,0.00008809668,0.00005248809,0.000008559804,0.000155202,0.0001359043,0.00004803721],"category_scores_gemma":[0.0000130179,0.0001053392,0.00006414834,0.00015788,0.0002100478,0.0005622674,0.0001080391,0.0001563268,0.00003255326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000373462,"about_ca_system_score_gemma":0.00001887039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002165881,"about_ca_topic_score_gemma":0.00003386071,"domain_scores_codex":[0.9991153,0.00003654161,0.0002047902,0.0002374125,0.00008600224,0.0003199074],"domain_scores_gemma":[0.9994996,0.0001070658,0.00008292071,0.0002527683,0.00002784695,0.00002984955],"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":[0.00002464986,0.0002409128,0.01194701,0.00002137174,0.00001876203,0.000001600503,0.0005894973,0.0000187294,0.8186685,0.05715416,0.00002912509,0.1112856],"study_design_scores_gemma":[0.0009596123,0.0001513013,0.001401734,0.0001389145,0.000008597572,7.813893e-7,0.0008421413,0.0001410303,0.8700763,0.1260051,0.0001217348,0.0001527653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864032,0.00007084255,0.01215922,0.0008569972,0.00007421876,0.000153152,0.00003446834,0.000047796,0.0002001648],"genre_scores_gemma":[0.9996017,0.000002733893,0.0002781921,0.00001614713,0.00003617023,0.00002270298,0.000007465704,0.00001115384,0.00002375564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1111329,"threshold_uncertainty_score":0.4295608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538131219321377,"score_gpt":0.2969219380229586,"score_spread":0.2815406258297448,"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."}}