{"id":"W2801177523","doi":"10.1109/iacs.2018.8355444","title":"A comparative study of open source deep learning frameworks","year":2018,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Implementation; Computer science; Benchmark (surveying); Artificial intelligence; Open source; Machine learning; Deep learning; Quality (philosophy); Data science; Software engineering; Programming language; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01566795,0.001973076,0.00114179,0.009291199,0.001654397,0.003919719,0.007967232,0.00239433,0.003146126],"category_scores_gemma":[0.04428079,0.001029977,0.001764959,0.01104883,0.001494871,0.01043494,0.00543391,0.002800847,0.001448813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005277833,"about_ca_system_score_gemma":0.004790652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02940954,"about_ca_topic_score_gemma":0.02837577,"domain_scores_codex":[0.9876259,0.002174339,0.001032248,0.001431353,0.006486379,0.001249798],"domain_scores_gemma":[0.9703689,0.01294017,0.001004126,0.004497832,0.01003425,0.001154716],"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":[0.003015538,0.002203434,0.03167164,0.004144494,0.0008913746,0.0005501126,0.001017993,0.1159126,0.00513478,0.05465622,0.08003726,0.7007646],"study_design_scores_gemma":[0.0007547319,0.001729411,0.0250171,0.001994453,0.0005489241,0.001114463,0.002327628,0.7176948,0.03237245,0.03184871,0.1841725,0.0004248129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6196091,0.05431025,0.1701069,0.004783752,0.001657345,0.0009772782,0.008984887,0.06406073,0.07550982],"genre_scores_gemma":[0.7407933,0.01505484,0.1912365,0.00155383,0.0002465858,0.0005480388,0.03523988,0.006394673,0.008932341],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02940954,"threshold_uncertainty_score":0.08286101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485666817750818,"score_gpt":0.3573274645369784,"score_spread":0.3124707963594702,"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."}}