{"id":"W2073735261","doi":"10.1002/mats.200400074","title":"Diagnosis of Impurity Levels in a Copolymerization Process","year":2005,"lang":"en","type":"article","venue":"Macromolecular Theory and Simulations","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Observability; Computer science; Fault (geology); Design of experiments; Fuzzy logic; Artificial intelligence; Boundary (topology); Algorithm; Machine learning; Mathematics; Statistics; Applied 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":[],"consensus_categories":[],"category_scores_codex":[0.0002858253,0.00006961968,0.00009849058,0.00009434093,0.00007745037,0.00003142968,0.0001534471,0.00003361122,0.00003283326],"category_scores_gemma":[0.0001124772,0.00006816137,0.0000231612,0.0003025316,0.00003777283,0.0001757287,0.0000484775,0.00007723547,0.000001774479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006219094,"about_ca_system_score_gemma":0.00001914196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007391841,"about_ca_topic_score_gemma":0.000006079706,"domain_scores_codex":[0.9992892,0.0001828438,0.0001593763,0.0001676643,0.000095538,0.0001053613],"domain_scores_gemma":[0.9995524,0.0001642275,0.00005328045,0.0001648401,0.00003110441,0.0000341007],"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":[0.00001772905,0.0003736686,0.05147024,0.00006951831,0.00002940556,0.00001512305,0.0073356,0.189863,0.003443189,0.46039,0.000003560411,0.2869889],"study_design_scores_gemma":[0.0006951415,0.00005236388,0.03116474,0.0000497811,0.000009080887,0.000008755767,0.00004448423,0.8774477,0.02141829,0.0686339,0.0002569358,0.0002188481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6726605,0.0002017383,0.3265896,0.0002140456,0.00001766962,0.00007199214,0.000005388657,0.00002798923,0.0002110246],"genre_scores_gemma":[0.9968328,0.000005153913,0.00299842,0.0000977705,0.00001619565,0.000008045815,0.000003411779,0.000004462067,0.00003375929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6875847,"threshold_uncertainty_score":0.277954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007153494322388387,"score_gpt":0.2770057409748343,"score_spread":0.2698522466524459,"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."}}