{"id":"W2124581141","doi":"10.1162/089976603321780281","title":"A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case","year":2003,"lang":"en","type":"review","venue":"Neural Computation","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Connectionism; Computer science; Artificial intelligence; Taxonomy (biology); Generative grammar; Machine learning; Unsupervised learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00142851,0.0006742239,0.001066608,0.003404984,0.0007010328,0.002665539,0.001644565,0.002415302,0.002399195],"category_scores_gemma":[0.002563358,0.0004260232,0.0004288991,0.004019108,0.003776488,0.008903285,0.001095295,0.002909447,0.001107499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195494,"about_ca_system_score_gemma":0.001353776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177518,"about_ca_topic_score_gemma":0.003229972,"domain_scores_codex":[0.9993782,0.0001977018,0.0000525321,0.0001236444,0.0002133105,0.0000346057],"domain_scores_gemma":[0.9987738,0.0006824932,0.00007724197,0.000119204,0.0003051424,0.00004209172],"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":[0.000009950518,0.00001465417,0.0003209872,0.0009790085,0.000021406,0.0001349212,0.0004060632,0.00243626,0.0003147197,0.8190841,0.008706258,0.1675716],"study_design_scores_gemma":[0.000005076901,0.00003337866,0.00064927,0.0007205733,0.00001540948,0.0008931214,0.000342014,0.006006,0.0003032869,0.6716396,0.3193624,0.00002986454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005515498,0.6727553,0.1907529,0.02018671,0.001466005,0.0001340518,0.000272134,0.0002222818,0.1086952],"genre_scores_gemma":[0.145837,0.7400122,0.08126251,0.005322571,0.002636613,0.0005176811,0.0004295302,0.00008492869,0.02389692],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003404984,"threshold_uncertainty_score":0.01592946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191324994956734,"score_gpt":0.337637395656113,"score_spread":0.2185048961604396,"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."}}