{"id":"W3111113979","doi":"10.48550/arxiv.2012.05390","title":"Ensemble Squared: A Meta AutoML System","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","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":[0.0003024489,0.0003210001,0.0004753827,0.0001922089,0.0001714199,0.000244313,0.002407277,0.0002407482,0.0000221241],"category_scores_gemma":[0.00005656829,0.0003383245,0.0003213744,0.0005973736,0.00004222546,0.0003206138,0.002138666,0.0007197961,0.0005056154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886128,"about_ca_system_score_gemma":0.0002108288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139407,"about_ca_topic_score_gemma":0.00001841021,"domain_scores_codex":[0.9976411,0.0003191895,0.0002185638,0.001408142,0.0001292527,0.0002837279],"domain_scores_gemma":[0.9973823,0.00009924269,0.0003341374,0.001850948,0.0001123898,0.0002209173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001515986,0.00005049672,0.0003517225,0.0003613419,0.0005193953,0.0003558846,0.0002617567,0.05090503,0.00006661698,0.9439881,0.001891791,0.0012327],"study_design_scores_gemma":[0.0002191799,0.00003903923,0.0005703111,0.00004758262,0.0004563167,0.000008422481,0.00007039116,0.984052,0.00004826811,0.006320165,0.007774079,0.0003942398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004382939,0.0001095912,0.9812053,0.0008620297,0.0005062516,0.0002635969,0.00002896988,0.001308005,0.01133327],"genre_scores_gemma":[0.993728,0.00002961794,0.004601974,0.0001113173,0.00008539265,0.000002526762,0.00007266596,0.00001820588,0.001350248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9893451,"threshold_uncertainty_score":0.9999069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388664287427442,"score_gpt":0.2024514387605263,"score_spread":0.0635850100177821,"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."}}