{"id":"W4404181526","doi":"10.31224/4095","title":"Good modeling practice for calibration applied to ion exchange breakthrough prediction","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Universiteit Gent; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Calibration; Computer science; Econometrics; Economics; Statistics; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004557135,0.0003425917,0.0003043164,0.0003078138,0.00005678668,0.0002439035,0.0001739265,0.0005115758,0.00007805041],"category_scores_gemma":[0.00005662376,0.0003857496,0.0001102269,0.0001985439,0.000006101634,0.0002342438,0.0002025159,0.0005031633,0.00007626304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873156,"about_ca_system_score_gemma":0.00006791697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005672449,"about_ca_topic_score_gemma":0.00002163926,"domain_scores_codex":[0.998263,0.0000278872,0.0005728632,0.000575595,0.0003152588,0.0002453894],"domain_scores_gemma":[0.9990913,0.00009823182,0.00006524609,0.0004864546,0.0001533454,0.0001054379],"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":[0.00005653951,0.00002919655,1.136257e-7,0.001676499,0.0000832512,8.48752e-7,0.0006536136,0.9462174,0.01002908,0.006826754,0.03013313,0.004293557],"study_design_scores_gemma":[0.0001402032,0.00004975163,1.74085e-7,0.0001540988,0.0001005283,0.000003439256,0.00008429299,0.9215974,0.050815,0.005601545,0.02111615,0.0003374215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001220558,0.0002329542,0.9527143,0.0007551067,0.00154675,0.002838372,0.0002240551,0.00500034,0.03546752],"genre_scores_gemma":[0.7584373,0.0004077688,0.2258353,0.0009545007,0.002301642,0.008324588,0.002067414,0.0003843058,0.001287233],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7572167,"threshold_uncertainty_score":0.9998595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237636745981825,"score_gpt":0.2952386592225816,"score_spread":0.2628622917627634,"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."}}