{"id":"W1966889561","doi":"10.1088/0957-0233/20/8/084003","title":"Design of a large measurement-volume metrological atomic force microscope (AFM)","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metrology; Astronomical interferometer; Atomic force microscopy; Position (finance); Translation (biology); Measure (data warehouse); Microscope; Volume (thermodynamics); Dimensional metrology; Materials science; Optics; Sample (material); Interferometry; Nanotechnology; Physics; Computer science; Chemistry; Data mining","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":[0.001017022,0.0006238052,0.001055429,0.0004494309,0.0007821349,0.0008074062,0.002274807,0.001027627,0.002303444],"category_scores_gemma":[0.0007881622,0.0006560592,0.0003259121,0.0002580054,0.0003660254,0.0007860478,0.0009405208,0.0006745391,0.001124719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006976922,"about_ca_system_score_gemma":0.001204575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006536984,"about_ca_topic_score_gemma":0.0008901529,"domain_scores_codex":[0.9990014,0.00007111271,0.00004676414,0.0002393108,0.0005590036,0.00008239462],"domain_scores_gemma":[0.999303,0.000179484,0.00007275485,0.00008003171,0.0002586394,0.0001060661],"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":[0.0002506367,0.0001421671,0.001290202,0.0004079821,0.00003675294,0.0002364076,0.0001058271,0.007660971,0.8836371,0.006294925,0.003559517,0.09637763],"study_design_scores_gemma":[0.0003510047,0.002788239,0.005306401,0.00007682885,0.0001563485,0.001686702,0.0000934486,0.3062574,0.587603,0.003687171,0.09175693,0.0002365439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04321108,0.0004863621,0.9453673,0.0004574364,0.0003029193,0.0008063305,0.0003111058,0.005312241,0.003745204],"genre_scores_gemma":[0.1684542,0.0001502587,0.827604,0.0002311582,0.000101852,0.0008787104,0.000267323,0.0001283447,0.00218413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002303444,"threshold_uncertainty_score":0.007705808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669327709366161,"score_gpt":0.2774251634196531,"score_spread":0.2507318863259915,"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."}}