{"id":"W2121342146","doi":"10.1098/rsif.2012.0633","title":"What do molecules do when we are not looking? State sequence analysis for stochastic chemical systems","year":2012,"lang":"en","type":"article","venue":"Journal of The Royal Society Interface","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Sequence (biology); Stochastic process; Trajectory; Computer science; Dynamical systems theory; Rare events; Discretization; Stochastic modelling; Statistical physics; Scale (ratio); State (computer science); Theoretical computer science; Biological system; Algorithm; Mathematics; Physics; Biology; Genetics; Statistics","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":[0.001219184,0.0002695501,0.0004322541,0.0009053698,0.0004787787,0.001589004,0.0005575133,0.0009770381,0.00179604],"category_scores_gemma":[0.01066571,0.0001707466,0.000328474,0.0006967079,0.001807777,0.003524897,0.0005304822,0.0009241711,0.0003701184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00091402,"about_ca_system_score_gemma":0.0008035114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302501,"about_ca_topic_score_gemma":0.002049959,"domain_scores_codex":[0.9994773,0.0002206594,0.00003070459,0.0001071692,0.0001173739,0.00004672573],"domain_scores_gemma":[0.9967661,0.002338076,0.0003020632,0.000183367,0.0002451409,0.0001652564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004268046,0.0001249571,0.03404526,0.0004526091,0.0001391958,0.000441104,0.001825089,0.1668635,0.01246645,0.5765693,0.005099627,0.201546],"study_design_scores_gemma":[0.0000166683,0.00003832877,0.002978571,0.00007919548,0.00001897327,0.0001200392,0.0004212377,0.4724861,0.002748396,0.5158227,0.005219906,0.00004991254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2530964,0.003940733,0.7199082,0.009157554,0.0002428939,0.00006445021,0.0005722416,0.0008464945,0.01217111],"genre_scores_gemma":[0.9132116,0.001396428,0.08294329,0.0004714402,0.00007121349,0.00005970077,0.0002469822,0.00008492785,0.001514369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003302501,"threshold_uncertainty_score":0.006631732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776984580163782,"score_gpt":0.2661712869804768,"score_spread":0.2484014411788389,"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."}}