{"id":"W1457115475","doi":"","title":"Automatic Machine Learning (AutoML)","year":2015,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Machine learning; Artificial intelligence; Computer science; Workflow; Hyper-heuristic; Automation; Hyperparameter; Robot learning; Engineering","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":[0.003599021,0.001575306,0.00163284,0.002458206,0.001433633,0.002755466,0.003007568,0.003077904,0.04134332],"category_scores_gemma":[0.009165742,0.0008944272,0.002051991,0.002246141,0.0008335801,0.00293611,0.003001295,0.00339895,0.03853208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373341,"about_ca_system_score_gemma":0.002511447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005388448,"about_ca_topic_score_gemma":0.007006506,"domain_scores_codex":[0.9968591,0.0009824468,0.0002518886,0.001079955,0.0005613774,0.000265238],"domain_scores_gemma":[0.9953117,0.001727537,0.0001828714,0.001457156,0.001181741,0.000138979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001274526,0.000207703,0.0006970444,0.0001932966,0.0001042797,0.00006761654,0.00002870266,0.01076107,0.002417677,0.005967091,0.07370515,0.9057229],"study_design_scores_gemma":[0.00007477921,0.0001116383,0.001091924,0.0001098105,0.00005530104,0.0001437883,0.00007385347,0.889568,0.008383541,0.05636855,0.04397563,0.0000432505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008427824,0.003334657,0.8828301,0.002836147,0.00163129,0.0003488099,0.005545217,0.08429725,0.01074873],"genre_scores_gemma":[0.1687471,0.001134534,0.761908,0.002486983,0.0008710386,0.001166887,0.02222408,0.003108818,0.0383526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04134332,"threshold_uncertainty_score":0.1383072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842453898736833,"score_gpt":0.2269142746420516,"score_spread":0.1984897356546833,"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."}}