{"id":"W2885601112","doi":"10.71781/9780","title":"Feedforward deep architectures for classification and synthesis","year":2017,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Samsung; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Feed forward; Computer science; Artificial intelligence; Neuroscience; Psychology; Engineering; Control engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006048284,0.0002314568,0.0003646106,0.0001568552,0.000293456,0.00139042,0.002547411,0.0002846336,0.00002793934],"category_scores_gemma":[0.0003037777,0.0002137289,0.00007435436,0.00004959218,0.0000296921,0.0001984821,0.0001144669,0.0001380782,0.00003045525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003927899,"about_ca_system_score_gemma":0.0001376078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336401,"about_ca_topic_score_gemma":0.0003343968,"domain_scores_codex":[0.9985722,0.00007478638,0.0002911232,0.0006728476,0.0001888815,0.0002002104],"domain_scores_gemma":[0.9979697,0.0002636369,0.0005250677,0.001046308,0.0001237776,0.00007148801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002458047,0.00001960186,0.0000161893,0.00007598104,0.00003265691,0.00000197796,0.001560895,3.689215e-7,0.002239672,0.0007377898,0.0005096524,0.9947807],"study_design_scores_gemma":[0.001546434,0.0007882332,0.01394815,0.003117124,0.0005258769,0.0001128266,0.002388199,0.05697709,0.6459553,0.0438647,0.2266585,0.00411758],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05109846,0.00131812,0.4756909,0.0009364787,0.001804748,0.01107227,0.0001227709,0.0001009271,0.4578553],"genre_scores_gemma":[0.5425382,0.00002625492,0.4339564,0.0000232222,0.0001535078,0.001525535,0.0001224467,0.0000563255,0.02159814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9906631,"threshold_uncertainty_score":0.9996462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067033785367864,"score_gpt":0.3605821187667033,"score_spread":0.2935483333988393,"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."}}