{"id":"W2614880551","doi":"","title":"Spent Potliner Treatment Process Optimization Using a MADS Algorithm","year":2005,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Computer science; Algorithm; Mathematics; Mathematical optimization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001640318,0.000436342,0.0003995686,0.0003585339,0.0001522009,0.0001257161,0.0002278048,0.0002435183,0.00004781174],"category_scores_gemma":[0.00002842072,0.0004431273,0.0001241502,0.0004876932,0.00002874113,0.0006632818,0.00003242792,0.0001797054,0.00001679148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886916,"about_ca_system_score_gemma":0.00009144971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005622451,"about_ca_topic_score_gemma":0.0003168375,"domain_scores_codex":[0.998093,0.00004897304,0.00055609,0.0003718772,0.0002852873,0.0006447564],"domain_scores_gemma":[0.998946,0.00002946468,0.00014034,0.0005242435,0.0001283314,0.0002316085],"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":[0.00001522346,0.00008723671,0.0004537274,0.00002014461,0.00005528133,0.00001125129,0.0001440987,0.9524634,0.001184818,0.0001445343,0.0000506226,0.04536961],"study_design_scores_gemma":[0.0008398357,0.00006686857,0.0001290914,0.00004480209,0.00005417557,0.0000921024,0.00004859496,0.9908574,0.006340327,0.00007453973,0.001018664,0.0004335761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00991687,0.001360779,0.9848824,0.0003119954,0.0001462372,0.00105113,0.00003567863,0.001861805,0.0004331524],"genre_scores_gemma":[0.3752303,0.0002358759,0.6229271,0.0001776581,0.0004319687,0.0004644701,0.00005649447,0.0001626408,0.000313464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3653134,"threshold_uncertainty_score":0.9998021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008799569430363084,"score_gpt":0.232171304183431,"score_spread":0.2233717347530679,"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."}}