{"id":"W3181507617","doi":"","title":"Learning Input and Recurrent Weight Matrices in Echo State Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recurrent neural network; Computer science; Activation function; Recursion (computer science); Echo state network; Backpropagation; Matrix (chemical analysis); Echo (communications protocol); Artificial intelligence; Algorithm; Function (biology); Artificial neural network","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":[0.0001613564,0.00007203621,0.00009227367,0.00006767232,0.0001199157,0.0001135038,0.00004436672,0.00001738569,0.001822761],"category_scores_gemma":[0.00001116348,0.00004204688,0.00001642107,0.00002263753,0.00007195664,0.0001836633,0.00004242928,0.00008238779,0.00003843119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001889529,"about_ca_system_score_gemma":0.00000787673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002040094,"about_ca_topic_score_gemma":0.01384075,"domain_scores_codex":[0.999468,0.00004653974,0.0001373366,0.0001273836,0.00006462656,0.0001561129],"domain_scores_gemma":[0.9997892,0.00005781925,0.00003868705,0.00004811161,0.00002792956,0.00003828933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00010492,0.0002072928,0.2751782,0.00006496663,0.00007676345,0.0000345636,0.02451519,0.00005967461,0.0002847029,0.1709259,0.01921218,0.5093357],"study_design_scores_gemma":[0.001410971,0.0003797989,0.04481696,0.0002235725,0.00001480122,0.000001683224,0.001086262,0.001969895,0.0001832113,0.01437207,0.9350085,0.0005322267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533527,0.0003356258,0.000073012,0.0003870501,0.0002872193,0.00008197489,0.000003149981,0.0000375695,0.04544173],"genre_scores_gemma":[0.9730626,0.001241113,0.000006924278,0.00005194224,0.0001466977,0.000004461649,8.725265e-7,0.00000631316,0.02547906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9157964,"threshold_uncertainty_score":0.9990897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577149424791251,"score_gpt":0.2232374945029549,"score_spread":0.2074660002550423,"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."}}