{"id":"W4317358132","doi":"10.1016/j.microc.2023.108440","title":"Resampling for estimation of parameters uncertainty in genetic algorithm based model fitting","year":2023,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Institute for Advanced Studies in Basic Sciences; Dalhousie University","keywords":"Resampling; Hessian matrix; Mathematics; Mean squared error; Data set; Algorithm; Statistics; Chemistry; Applied mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009091079,0.001107327,0.001800267,0.001641561,0.001270489,0.0009753616,0.00221868,0.00197715,0.001853567],"category_scores_gemma":[0.03919444,0.0008058743,0.00147257,0.0009768123,0.001046419,0.001184518,0.001466934,0.002638594,0.0004073086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097264,"about_ca_system_score_gemma":0.001935122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653311,"about_ca_topic_score_gemma":0.01138743,"domain_scores_codex":[0.9966722,0.002252847,0.0001670532,0.0003754052,0.0003847986,0.0001476811],"domain_scores_gemma":[0.9808003,0.01585978,0.0005161178,0.001075996,0.001551424,0.000196457],"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":[0.0002447458,0.00018378,0.002037733,0.00008306887,0.0001949128,0.00009949744,0.0001513279,0.8911055,0.001868372,0.007017651,0.0007616542,0.0962518],"study_design_scores_gemma":[0.00001157461,0.0000239519,0.0001797104,0.000006997523,0.0000088711,0.00001258981,0.00000898193,0.9979068,0.0004358367,0.001253693,0.0001449086,0.000006088047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02648336,0.0001691113,0.972028,0.0001008851,0.00004048361,0.00008924177,0.00005666404,0.0006406977,0.0003916409],"genre_scores_gemma":[0.3897638,0.0001079747,0.6081324,0.000153325,0.00004693267,0.0003837376,0.0005328807,0.0002327433,0.0006461294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01653311,"threshold_uncertainty_score":0.04807878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090787013463272,"score_gpt":0.2874767202898275,"score_spread":0.2665688501551947,"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."}}