{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003044767,0.0001425976,0.0001716207,0.00009682566,0.0005065394,0.0004691884,0.0003560019,0.00004359077,0.001949007],"category_scores_gemma":[0.0009643373,0.0001351463,0.0000772155,0.00009860664,0.0002210669,0.0002284334,0.0001734693,0.0002280985,0.0003434971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006071441,"about_ca_system_score_gemma":0.0001009866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272849,"about_ca_topic_score_gemma":0.01542555,"domain_scores_codex":[0.9969471,0.002032449,0.0002656252,0.0002445043,0.0002845763,0.0002257358],"domain_scores_gemma":[0.9976401,0.0003468059,0.0001605517,0.0004679734,0.001217983,0.0001666297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004939827,0.0003941982,0.00474183,0.00004284628,0.00005567129,0.000006546524,0.06852219,0.00001461687,0.0004191287,0.8755198,0.00631047,0.04396778],"study_design_scores_gemma":[0.0008827994,0.000001481993,0.001774825,0.0002919644,0.00003438331,0.0000067886,0.001289732,0.08057643,0.004841752,0.009376426,0.900511,0.0004124059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5006415,0.0004940255,0.00157257,0.006224751,0.0002941656,0.000198041,0.00002004877,0.0004124713,0.4901424],"genre_scores_gemma":[0.9299189,0.00003691542,0.00113505,0.00009791679,0.00003892831,0.00001372456,0.00006975022,0.00002223232,0.06866661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8942006,"threshold_uncertainty_score":0.9989634,"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."}}