{"id":"W3022801894","doi":"10.3762/bjnano.11.60","title":"Quantitative determination of the interaction potential between two surfaces using frequency-modulated atomic force microscopy","year":2020,"lang":"en","type":"article","venue":"Beilstein Journal of Nanotechnology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Force spectroscopy; Kelvin probe force microscope; Materials science; Adhesion; Molecular physics; Conductive atomic force microscopy; Work (physics); Displacement (psychology); Atomic force microscopy; Electrostatic force microscope; Molecular dynamics; Nanotechnology; Chemistry; Physics; Composite material; Thermodynamics; Computational chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195647,0.0001273307,0.00028758,0.0001007965,0.000108743,0.00001935379,0.0003912003,0.00009451083,0.00002702515],"category_scores_gemma":[0.00001783861,0.0001009299,0.0001683248,0.0003394035,0.0001611961,0.0001664716,0.00008253398,0.0003432839,0.000001999476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000443393,"about_ca_system_score_gemma":0.00008565462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008679894,"about_ca_topic_score_gemma":0.000001195099,"domain_scores_codex":[0.9989877,0.00006022789,0.000553415,0.0001359324,0.0001123849,0.0001503114],"domain_scores_gemma":[0.9985942,0.00003970687,0.0009673664,0.0001587576,0.000204721,0.00003524237],"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":[0.00002419732,0.00002479138,0.005724505,0.000008177434,0.00004313173,6.927629e-7,0.000135237,0.0002439107,0.9880312,0.002876726,0.00001277196,0.002874678],"study_design_scores_gemma":[0.0004554006,0.0002412829,0.0002824601,0.00008209603,0.00009139581,0.00001227372,0.0002726276,0.007386797,0.9813944,0.009598984,0.00008255756,0.00009968793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7655572,0.00004771465,0.2334335,0.0006794331,0.00007626646,0.0001473268,0.00002590469,0.00001592722,0.00001673606],"genre_scores_gemma":[0.9653174,0.000004151715,0.03456626,0.00001980508,0.00006429411,0.00000220524,0.000004295793,0.00001548004,0.000006057222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1997602,"threshold_uncertainty_score":0.4115801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318937934411358,"score_gpt":0.327492536420947,"score_spread":0.3043031570768334,"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."}}