{"id":"W2748662937","doi":"10.1016/j.pbiomolbio.2017.08.004","title":"East-West paths to unconventional computing","year":2017,"lang":"en","type":"review","venue":"Progress in Biophysics and Molecular Biology","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Unconventional computing; Computer science; Computation; Field (mathematics); Quantum computer; Data science; Reservoir computing; Natural computing; Physical computing; Theoretical computer science; Computational science; Artificial intelligence; Distributed computing; Quantum; Algorithm; Mathematics; Artificial neural network; Physics","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":[0.0008876632,0.0006757826,0.0006090991,0.001337104,0.0006504562,0.002057352,0.00110615,0.001297969,0.00930566],"category_scores_gemma":[0.001600215,0.0002164908,0.0003280556,0.001629168,0.002747158,0.005126029,0.001640542,0.003203065,0.002347878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009855302,"about_ca_system_score_gemma":0.001528066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006075737,"about_ca_topic_score_gemma":0.001329313,"domain_scores_codex":[0.9997137,0.00007588886,0.00001854526,0.00005115844,0.0001017577,0.00003887819],"domain_scores_gemma":[0.9993368,0.0004200717,0.00003716179,0.00005727193,0.0001018192,0.00004684801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006716212,0.0000389437,0.0001463092,0.003980082,0.00003635072,0.000150091,0.0002864742,0.0006700678,0.001258438,0.4703627,0.0372704,0.485733],"study_design_scores_gemma":[0.000007584389,0.0000202491,0.0001425907,0.001314669,0.00001459015,0.0002880752,0.00009524252,0.0001895703,0.0004804383,0.1344464,0.8629906,0.00001006392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008712903,0.9522539,0.006293007,0.009031415,0.001686142,0.00001268974,0.00004719062,0.00006413984,0.02974018],"genre_scores_gemma":[0.014241,0.9715584,0.002870025,0.002771946,0.001306579,0.00002768481,0.00005967477,0.00002964323,0.007135174],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00930566,"threshold_uncertainty_score":0.03113049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0623393786989714,"score_gpt":0.3872768392491704,"score_spread":0.324937460550199,"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."}}