{"id":"W2038754673","doi":"10.1039/c0jm01362e","title":"Morphological and quantitative frictional measurements of cotton fibres using friction force microscopy","year":2010,"lang":"en","type":"article","venue":"Journal of Materials Chemistry","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Cantilever; Composite material; Materials science; Atomic force microscopy; Microscopy; Friction coefficient; Static friction; Coefficient of friction; Chemistry; Nanotechnology; Optics","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":[0.0001897414,0.00008246915,0.0001781149,0.00001734092,0.00006398432,0.00003000394,0.0000819591,0.00005538474,0.0004769573],"category_scores_gemma":[0.0000110799,0.00006955098,0.00004717834,0.00003756219,0.00005779725,0.00007786144,0.00002592934,0.0001123459,5.654899e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078521,"about_ca_system_score_gemma":0.00003255637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002646477,"about_ca_topic_score_gemma":7.380309e-8,"domain_scores_codex":[0.9993908,0.00001118331,0.0003304091,0.00008009309,0.0001048224,0.00008273831],"domain_scores_gemma":[0.9992668,0.00002238262,0.0004479172,0.00007268286,0.0001509906,0.00003923527],"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":[0.00003804204,0.00005817602,0.001927604,0.00002136599,0.00002602934,2.889455e-7,0.0000307358,0.000007726215,0.9974353,0.000256801,0.0001792017,0.00001877868],"study_design_scores_gemma":[0.000173447,0.0000337522,0.0004267977,0.00004348841,0.00002689348,0.00002793092,0.0000758417,0.00001254255,0.9981274,0.0008705073,0.0001212608,0.00006014366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955759,0.0000190467,0.003880801,0.00002377704,0.0000995837,0.00004830406,0.00006327064,0.000004530228,0.0002847906],"genre_scores_gemma":[0.9700323,0.00000277374,0.02975794,0.000004629813,0.0001538787,0.000002340318,0.000008026341,0.000006887083,0.0000312372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02587714,"threshold_uncertainty_score":0.5222348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700970353004309,"score_gpt":0.3167771604331209,"score_spread":0.2897674569030778,"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."}}