{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003402106,0.00354544,0.001406478,0.001962156,0.001033483,0.004864081,0.005100041,0.002744775,0.1973159],"category_scores_gemma":[0.008704271,0.004178368,0.003027919,0.001163849,0.001048583,0.00844308,0.006881483,0.004542447,0.1891965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026657,"about_ca_system_score_gemma":0.002299766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006310094,"about_ca_topic_score_gemma":0.006774373,"domain_scores_codex":[0.9976616,0.0003256502,0.0002708304,0.0004540857,0.001058831,0.0002290444],"domain_scores_gemma":[0.9964257,0.001042459,0.0001521875,0.001404165,0.0007605717,0.0002150035],"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":[0.0005625095,0.0001074017,0.000814015,0.001372691,0.000108751,0.0004717339,0.0006327925,0.004026895,0.007839588,0.02844965,0.8553326,0.1002815],"study_design_scores_gemma":[0.0001050651,0.00002093468,0.0003028765,0.0002783122,0.000036187,0.0003175084,0.000066921,0.01025097,0.0137446,0.01388235,0.9608801,0.0001142613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.000849761,0.0002499355,0.3128891,0.0003128466,0.0004165908,0.0002067378,0.01939392,0.6308577,0.0348235],"genre_scores_gemma":[0.0181753,0.0006219283,0.1072632,0.001197113,0.0001668238,0.0007293872,0.06771053,0.7206028,0.08353296],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1973159,"threshold_uncertainty_score":0.6600873,"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."}}