{"id":"W2617317093","doi":"10.71781/10395","title":"Structured prediction and generative modeling using neural networks","year":2016,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Samsung; Compute Canada; Nuance Foundation; Canadian Institute for Advanced Research","keywords":"Generative grammar; Artificial neural network; Artificial intelligence; Computer science; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365674,0.0009313746,0.0008094886,0.0008100773,0.0005418207,0.002050613,0.001631444,0.001543748,0.005222424],"category_scores_gemma":[0.005874674,0.0007508515,0.001744022,0.0009137326,0.001005576,0.002180563,0.00145855,0.001846303,0.001174811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430283,"about_ca_system_score_gemma":0.0009775008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534993,"about_ca_topic_score_gemma":0.01558633,"domain_scores_codex":[0.9991316,0.000274044,0.00004252581,0.0002523461,0.0002189642,0.00008055864],"domain_scores_gemma":[0.9977688,0.001664493,0.00009782385,0.000198057,0.0002227855,0.00004809696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009747778,0.00003630185,0.001468442,0.0001064402,0.00007012334,0.0001931565,0.0002366117,0.9050974,0.003037449,0.03166357,0.001095174,0.05689799],"study_design_scores_gemma":[0.000002040726,0.000005254342,0.00009193896,0.000006540181,0.000004315538,0.00001507671,0.000007750454,0.9923223,0.0004598211,0.006670283,0.0004102671,0.000004465984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01928851,0.0003886463,0.9752578,0.0003811075,0.00006794035,0.00004039041,0.0002580722,0.001073697,0.003243758],"genre_scores_gemma":[0.6325523,0.001028511,0.3462539,0.0003087041,0.0001332631,0.0002945279,0.001256735,0.0005642384,0.01760775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01534993,"threshold_uncertainty_score":0.03052115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04542608088271574,"score_gpt":0.3128996563845111,"score_spread":0.2674735755017953,"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."}}