{"id":"W3147525601","doi":"10.48550/arxiv.2104.02828","title":"Ecole: A Library for Learning Inside MILP Solvers","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0002230753,0.0003402001,0.0004399388,0.0001946529,0.0002724202,0.0005606025,0.0019355,0.000331387,0.00002578106],"category_scores_gemma":[0.00005117872,0.0004242598,0.0003958618,0.0005916972,0.00005008807,0.0005863577,0.002506035,0.0006479154,0.00003515285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016788,"about_ca_system_score_gemma":0.0005492371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005244696,"about_ca_topic_score_gemma":0.00001037819,"domain_scores_codex":[0.9976992,0.000221647,0.0002520329,0.001267878,0.00009088077,0.0004683726],"domain_scores_gemma":[0.9981578,0.0002556508,0.0003070927,0.0009527518,0.0001303437,0.0001963436],"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":[0.00002231993,0.00008627534,0.00404237,0.0002882752,0.0001911439,0.0005024339,0.0006161028,0.9461944,0.00001235366,0.04122545,0.005961888,0.0008569846],"study_design_scores_gemma":[0.0006246599,0.00007372772,0.0005063161,0.0002997204,0.00004913585,0.00001058626,0.0002208032,0.9628347,0.00007580466,0.006305927,0.02836376,0.0006348595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1065583,0.0001509774,0.8862983,0.0001312201,0.001305226,0.0003655216,0.00002757922,0.0007186011,0.00444431],"genre_scores_gemma":[0.9894121,0.00006891262,0.005557304,0.0001435364,0.0001674701,0.000002372939,0.0002138217,0.00002970892,0.004404753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8828538,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05996330381961284,"score_gpt":0.1786859551076073,"score_spread":0.1187226512879944,"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."}}