{"id":"W4237136595","doi":"10.1007/978-1-4471-7452-3_24","title":"Deep Learning","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Deep learning; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001030529,0.0002167802,0.0002459171,0.00007041483,0.00007657523,0.0001481063,0.0005841816,0.0001630116,0.001172576],"category_scores_gemma":[0.00001144504,0.0001840445,0.0001396205,0.00001980441,0.00002269114,0.0001960382,0.0003075661,0.0002964443,0.002862624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002546117,"about_ca_system_score_gemma":0.00004585238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004805217,"about_ca_topic_score_gemma":0.000006896607,"domain_scores_codex":[0.9990233,0.00001740652,0.0001566608,0.0004237164,0.0001967637,0.0001821835],"domain_scores_gemma":[0.9992316,0.00007866578,0.0001035185,0.0004585163,0.00007141882,0.00005627116],"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":[9.374899e-7,0.000002618422,0.00000277963,0.000006103482,0.00004645175,0.00001055991,0.00004286133,0.004773004,0.00001998923,0.8268507,0.00449589,0.1637481],"study_design_scores_gemma":[0.00006812403,0.00004837431,0.000006060627,0.00002606518,0.000009996952,0.000003821731,0.000001741298,0.1686826,0.00005364578,0.00810585,0.8226836,0.0003101345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[3.420481e-8,0.000206316,0.4850461,0.00009714864,0.0003007766,0.00005198614,1.124634e-7,0.000068021,0.5142295],"genre_scores_gemma":[0.001144625,0.0001277616,0.03189607,0.0002938093,0.0002633475,9.488364e-7,0.000003804194,0.00002313906,0.9662465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8187449,"threshold_uncertainty_score":0.9997405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309255405703303,"score_gpt":0.2008784637070687,"score_spread":0.1877859096500357,"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."}}