{"id":"W4416995808","doi":"10.1021/acs.jpclett.5c03158","title":"Standardizing Force Reconstruction in Dynamic Atomic Force Microscopy","year":2025,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Economic Development for Quebec Regions; Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Atomic force microscopy; Force dynamics; Limiting; Benchmarking; Ranging; Work (physics); Nanoscopic scale; Software","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":[0.01059576,0.001378082,0.0008393611,0.002324923,0.001112059,0.002512688,0.00249494,0.002253984,0.002303665],"category_scores_gemma":[0.03355173,0.0006974001,0.0009363242,0.001440354,0.001131423,0.002527307,0.002994454,0.001816419,0.001090327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000761089,"about_ca_system_score_gemma":0.001517402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858658,"about_ca_topic_score_gemma":0.00227877,"domain_scores_codex":[0.9945403,0.001571518,0.0005723603,0.0008269245,0.002192845,0.0002960674],"domain_scores_gemma":[0.9894986,0.005094536,0.000670927,0.002232072,0.002370662,0.0001331105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007206573,0.0005542692,0.01202884,0.002646175,0.000479589,0.0003841834,0.001286611,0.1807862,0.2328329,0.06271476,0.01199509,0.4935707],"study_design_scores_gemma":[0.00009023687,0.0002474119,0.004471977,0.0004088207,0.0000857502,0.0004960839,0.000240271,0.7388304,0.196772,0.03208822,0.02600856,0.0002602397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05270926,0.001313006,0.9362068,0.000352052,0.0002317427,0.0002133333,0.0008297191,0.005890548,0.002253727],"genre_scores_gemma":[0.1680524,0.000970199,0.8250036,0.0001844635,0.00005719168,0.0005415222,0.001773436,0.002777371,0.0006398851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01059576,"threshold_uncertainty_score":0.05603647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0027077257432713,"score_gpt":0.2667239981891796,"score_spread":0.2640162724459083,"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."}}