{"id":"W4365443135","doi":"10.1021/acsnano.3c01185","title":"Two-Molecule Force Spectroscopy on Proteins","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Force spectroscopy; Molecule; Spectroscopy; Chemical physics; Materials science; Nanotechnology; Chemistry; Atomic force microscopy; Physics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005402934,0.0001084855,0.00009320146,0.00005173337,0.0001453018,0.00003854396,0.0001729203,0.00002122175,0.0001990365],"category_scores_gemma":[0.000001456459,0.0001009334,0.00005953106,0.0003287946,0.00002791119,0.00003758009,0.00005408991,0.00009309363,0.001076736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001622759,"about_ca_system_score_gemma":0.00002348149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009899466,"about_ca_topic_score_gemma":0.000001069237,"domain_scores_codex":[0.999339,0.000008488078,0.0001090103,0.0002058027,0.00008640133,0.0002513305],"domain_scores_gemma":[0.9995629,0.00001391398,0.00004124853,0.0003190173,0.00001908469,0.00004386698],"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":[0.000003880553,0.00004816391,0.0002706352,0.00000266226,0.000009668904,6.171761e-7,0.00004107286,0.00001469015,0.7580581,0.221196,0.01961734,0.0007372216],"study_design_scores_gemma":[0.0001806011,0.00007408346,0.0001122217,0.00001321491,0.000005205918,1.864227e-7,0.00004711935,0.00007649398,0.9669806,0.01276854,0.01961717,0.000124564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7652609,0.000006726354,0.01612106,0.0008274802,0.00007514664,0.0008687977,0.00008655853,0.0005687849,0.2161846],"genre_scores_gemma":[0.987565,0.000002037633,0.002509683,0.0001561245,0.0001515163,0.0002917491,0.00008922294,0.00002666895,0.009208027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2223041,"threshold_uncertainty_score":0.999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009127037542523735,"score_gpt":0.291205615720412,"score_spread":0.2820785781778882,"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."}}