{"id":"W3211229017","doi":"10.14778/3551793.3551804","title":"A scalable AutoML approach based on graph neural networks","year":2022,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scalability; Scripting language; Metadata; Pipeline (software); Artificial intelligence; Machine learning; Graph; Pipeline transport; Theoretical computer science; Database; Programming language; World Wide Web","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":[0.001243767,0.001571411,0.001076034,0.002752249,0.0009588877,0.00200978,0.003575057,0.001578574,0.008274923],"category_scores_gemma":[0.004008541,0.0009734,0.001458826,0.002242049,0.0008152039,0.004682596,0.002071349,0.002025897,0.004337719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350735,"about_ca_system_score_gemma":0.002148007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326415,"about_ca_topic_score_gemma":0.02976508,"domain_scores_codex":[0.9990147,0.0001740806,0.00004117305,0.0003918268,0.0002992926,0.00007879962],"domain_scores_gemma":[0.9985743,0.0004437688,0.0001109456,0.0005217117,0.0002953014,0.00005395736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001482993,0.0002773326,0.002266484,0.0003047131,0.0001644409,0.0001316095,0.0001051668,0.2534519,0.005905196,0.01869638,0.03846183,0.6800867],"study_design_scores_gemma":[0.00001246761,0.00001830431,0.0001211524,0.00001032293,0.00001147643,0.0000254461,0.0000174932,0.9795842,0.001753925,0.01414339,0.004291725,0.00001010064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009084394,0.0004234393,0.9274058,0.0005678299,0.00008226049,0.0002065569,0.00137488,0.05616637,0.004688514],"genre_scores_gemma":[0.160545,0.0002937418,0.8222908,0.0006587331,0.00007730336,0.000401958,0.005019492,0.002503995,0.008208968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01326415,"threshold_uncertainty_score":0.02768236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127707688173583,"score_gpt":0.2149683934998161,"score_spread":0.2021976246824577,"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."}}