{"id":"W6931564120","doi":"10.5281/zenodo.7007914","title":"QuadraticModels.jl","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Quadratic equation; Mathematical model; Process (computing); Component (thermodynamics); Quadratic programming","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002981407,0.0001817725,0.0001809993,0.0002872617,0.000706359,0.001302194,0.003219101,0.0001171006,0.007625985],"category_scores_gemma":[0.00008876231,0.0001890013,0.00004994107,0.0004987293,0.00007466957,0.0002073135,0.002122729,0.0002543377,0.05685339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006242475,"about_ca_system_score_gemma":0.000006347498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003517498,"about_ca_topic_score_gemma":2.776328e-7,"domain_scores_codex":[0.9984022,0.0001224243,0.0001853599,0.0006266777,0.0003512122,0.0003121261],"domain_scores_gemma":[0.9981403,0.00001386503,0.0001511603,0.001404524,0.0001561619,0.0001340072],"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":[7.141355e-7,0.00004098565,2.639451e-8,0.00002855589,0.00001920217,0.000002496244,0.0001426724,0.000004527341,0.00003618888,0.04027078,0.8177835,0.1416704],"study_design_scores_gemma":[0.0001624022,0.00005897336,0.000004000071,0.00005150675,0.000006698545,0.00003316287,0.00002386404,0.00773414,0.00001309735,0.0002094734,0.9914867,0.0002159432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001176735,0.00008735896,0.2966735,0.0004501928,0.000127034,0.000300273,0.0002838139,0.001582686,0.700494],"genre_scores_gemma":[0.0004869306,0.0002359085,0.04298446,0.0003732599,0.0005353309,1.538303e-7,0.004155449,0.01080259,0.9404259],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.253689,"threshold_uncertainty_score":0.9997345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428813210180064,"score_gpt":0.2482564258340629,"score_spread":0.2139682937322622,"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."}}