{"id":"W2395665578","doi":"10.1038/srep21584","title":"Constructing modular and universal single molecule tension sensor using protein G to study mechano-sensitive receptors","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"National Institute of General Medical Sciences; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Ligand (biochemistry); Receptor; Biophysics; Chemistry; Molecule; Modular design; Nanotechnology; Materials science; Biochemistry; Biology; Computer science","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":[0.0004085773,0.0001299036,0.0001200868,0.0001021597,0.0002454862,0.00007964247,0.00004562566,0.00006183756,0.00002010747],"category_scores_gemma":[0.0001684959,0.0001012788,0.00004925228,0.0001531403,0.00006932212,0.00001102853,0.0001789791,0.00004159859,0.00000300318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005007541,"about_ca_system_score_gemma":0.00005228503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002560079,"about_ca_topic_score_gemma":0.00002560761,"domain_scores_codex":[0.9986241,0.00006756271,0.0002240794,0.0007121906,0.0001630877,0.0002090124],"domain_scores_gemma":[0.9990578,0.000005455473,0.000138181,0.0004281542,0.00024989,0.000120574],"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":[0.00001559539,0.00006399008,0.0001560478,0.000001731555,0.00002445311,0.00009298888,0.00008495477,0.000006300363,0.9969989,0.00001897807,0.00007719735,0.002458867],"study_design_scores_gemma":[0.0001501741,0.0002114291,0.000007258888,0.00003638795,0.0000145735,0.0003145696,0.001909241,0.000272277,0.9940951,0.0001189538,0.002711944,0.0001580456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745895,0.00001544774,0.02325553,0.0000657205,0.001466894,0.0004878813,0.000005400201,0.00001472145,0.00009887871],"genre_scores_gemma":[0.9956878,6.435681e-7,0.003195443,0.0000143689,0.00005307348,0.000005012929,0.00001660491,0.00001796799,0.001009051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02109831,"threshold_uncertainty_score":0.4130029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420859274390248,"score_gpt":0.2356263545344331,"score_spread":0.2214177617905307,"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."}}