{"id":"W2143533565","doi":"10.1016/j.mbs.2008.10.005","title":"Modeling residual force enhancement with generic cross-bridge models","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Residual; Bridge (graph theory); Computer science; Materials science; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001106505,0.0007649594,0.0009147898,0.0005819585,0.0002767713,0.0008052553,0.002165452,0.002393381,0.00177885],"category_scores_gemma":[0.002372086,0.0005254283,0.0008329584,0.0004541559,0.0008183183,0.00199521,0.0009525616,0.0009438161,0.0003718532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044267,"about_ca_system_score_gemma":0.0006135885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389607,"about_ca_topic_score_gemma":0.002577102,"domain_scores_codex":[0.9997796,0.00005196611,0.00001111544,0.00006297639,0.00005846039,0.00003586022],"domain_scores_gemma":[0.9993066,0.0002855773,0.0001278848,0.0001117756,0.00011512,0.00005308223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000244987,0.00002984842,0.0001973192,0.00002625291,0.00001744959,0.00004263837,0.00002162145,0.9748951,0.002108911,0.01764576,0.0002474656,0.00474301],"study_design_scores_gemma":[0.000001250496,0.000003056629,0.00002102712,5.9235e-7,0.000001428568,0.00000304527,7.634063e-7,0.9984149,0.0001213882,0.001364868,0.00006629686,0.000001298387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06612182,0.0002954228,0.9286995,0.0002654671,0.00007205165,0.00003166603,0.0000848492,0.0004821754,0.003947104],"genre_scores_gemma":[0.9249634,0.0004038278,0.06547856,0.0001369007,0.00005640136,0.00008976139,0.0001942757,0.0001818612,0.008494966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00389607,"threshold_uncertainty_score":0.007746756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04855432225074496,"score_gpt":0.3117612178292624,"score_spread":0.2632068955785174,"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."}}