{"id":"W6931187267","doi":"10.5281/zenodo.16782167","title":"NLPModelsKnitro.jl: A thin KNITRO wrapper for NLPModels","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Key (lock); Software; Component (thermodynamics); Interchangeability","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003425283,0.0003171448,0.0003464732,0.0005514966,0.0006410848,0.0006470712,0.0008403336,0.0002688382,0.02921339],"category_scores_gemma":[0.0001566949,0.0003425598,0.0001216497,0.0003260667,0.00006604906,0.0001083889,0.000290417,0.0003113351,0.006346521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527962,"about_ca_system_score_gemma":0.000008594433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002697302,"about_ca_topic_score_gemma":0.000001769311,"domain_scores_codex":[0.9983531,0.0001200244,0.000343552,0.0004479172,0.0003022537,0.0004331392],"domain_scores_gemma":[0.9988773,0.00002409924,0.00007583101,0.0005787764,0.0002916924,0.0001523243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001442569,0.00003266194,6.165943e-8,0.0003859648,0.000138676,0.000002283446,0.0002700838,0.001132172,0.0002739724,0.01001479,0.9703628,0.01737206],"study_design_scores_gemma":[0.0005562276,0.00005414118,0.000001210234,0.0001677766,0.00003364575,0.00001589092,0.00008967104,0.02669972,0.00005980627,0.0001438903,0.9718494,0.0003286265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009303773,0.000539506,0.1285059,0.0001340738,0.0003785836,0.001048957,0.001016846,0.004014761,0.864352],"genre_scores_gemma":[0.01468757,0.0004466903,0.002268025,0.0002795866,0.001195115,0.000001359466,0.005354849,0.01906918,0.9566976],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1262379,"threshold_uncertainty_score":0.9999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528212011640863,"score_gpt":0.2234579047747776,"score_spread":0.198175784658369,"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."}}