{"id":"W2893407562","doi":"10.1016/j.ifacol.2018.09.012","title":"Numerical Modelling of C. elegans L1 Aggregation","year":2018,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Limit (mathematics); Work (physics); Statistical physics; Nonlinear system; Function (biology); Partial differential equation; Applied mathematics; Biological system; Computer science; Mathematical optimization; Mathematics; Physics; Mathematical analysis; Biology; Thermodynamics; Evolutionary biology","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":[0.0003295518,0.0004888388,0.0005697515,0.0006019819,0.0006967839,0.0008678202,0.001285332,0.001751791,0.002131083],"category_scores_gemma":[0.001589085,0.0002756326,0.0006275258,0.0004836383,0.0007764265,0.0006755875,0.00085281,0.0008863959,0.0002927099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241004,"about_ca_system_score_gemma":0.0007565111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494034,"about_ca_topic_score_gemma":0.005900672,"domain_scores_codex":[0.9998797,0.00002364711,0.00001086408,0.00002702739,0.00003366116,0.00002514875],"domain_scores_gemma":[0.9994837,0.0002091295,0.0001131634,0.00004231753,0.00009875245,0.00005284976],"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":[0.00002761369,0.00004220804,0.001439907,0.00005910069,0.00001178518,0.0001607452,0.00008869459,0.9800348,0.006189097,0.009989481,0.0004092371,0.001547343],"study_design_scores_gemma":[0.00000691094,0.000009835071,0.0002160806,0.000005866217,0.000003195514,0.00001669723,0.00001038545,0.9976724,0.0003648893,0.001329488,0.0003582056,0.000006000888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7071195,0.00141151,0.2369214,0.002150683,0.0002631389,0.0002542973,0.001601513,0.0007632716,0.04951461],"genre_scores_gemma":[0.9436667,0.0005634979,0.04768002,0.0001786582,0.00003530902,0.0002500776,0.0003496521,0.00007521923,0.007200886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494034,"threshold_uncertainty_score":0.02970678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879493054982085,"score_gpt":0.2438187852964777,"score_spread":0.2250238547466569,"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."}}