{"id":"W2946141944","doi":"10.1039/c9nr03730f","title":"Investigating the detection limit of subsurface holes under graphite with atomic force acoustic microscopy","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphite; Atomic force microscopy; Limit (mathematics); Detection limit; Materials science; Nanotechnology; Composite material; Chemistry; Chromatography; Mathematics","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":[0.0000728556,0.0001223471,0.0001344329,0.00002988958,0.00013515,0.00002689722,0.0001682315,0.00004026918,0.0000451057],"category_scores_gemma":[9.372555e-7,0.00008479109,0.00006361838,0.0002514576,0.0001796253,0.00006412512,0.00003657429,0.0001412885,0.000021988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001380698,"about_ca_system_score_gemma":0.00003163389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791802,"about_ca_topic_score_gemma":0.00001883441,"domain_scores_codex":[0.9993585,0.00001795894,0.0001628224,0.0001887486,0.00009567732,0.000176286],"domain_scores_gemma":[0.9994109,0.00004598004,0.0001433897,0.0003152275,0.00005043761,0.00003411343],"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":[0.000005383174,0.00002398404,0.0286469,0.00001348745,0.00001710467,1.318784e-8,0.0001078625,0.0004465873,0.967047,0.003174872,0.00005058796,0.0004662432],"study_design_scores_gemma":[0.0002621789,0.00008421199,0.005467763,0.00006433827,0.00003547594,9.056363e-7,0.0003374394,0.0009524212,0.9873494,0.004697899,0.0006068618,0.0001411231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285153,0.00004015885,0.07011747,0.00009067274,0.00003104961,0.0003713052,0.0000222282,0.00004127513,0.0007705063],"genre_scores_gemma":[0.9970981,0.000002862196,0.001923876,0.00005946836,0.00002606136,0.00004370571,0.00001055541,0.00002266531,0.000812667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06858281,"threshold_uncertainty_score":0.345768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006748131304791848,"score_gpt":0.2399069695840087,"score_spread":0.2331588382792168,"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."}}