{"id":"W4313348914","doi":"10.1007/978-3-031-20350-3","title":"Theory and Applications of Models of Computation","year":2022,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Computation; Theoretical computer science; Algorithm","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":[0.001180787,0.001318608,0.001335539,0.002050956,0.001173651,0.005251511,0.001572254,0.001909697,0.01100556],"category_scores_gemma":[0.004154517,0.000734224,0.001427636,0.003167811,0.0056052,0.007925971,0.001845997,0.004024504,0.002004419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738422,"about_ca_system_score_gemma":0.001203722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441241,"about_ca_topic_score_gemma":0.0008959878,"domain_scores_codex":[0.9989108,0.000478883,0.00006711519,0.0001591316,0.0003141751,0.000069906],"domain_scores_gemma":[0.9982968,0.00114734,0.00009421336,0.0002507918,0.0001445088,0.00006632027],"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":[0.00000237027,0.000002451853,0.00002509812,0.00003733917,0.000003701584,0.00000970776,0.00004358619,0.0006021254,0.0000425112,0.99297,0.002254409,0.004006656],"study_design_scores_gemma":[0.000002082744,0.000001824959,0.00001915988,0.00001802395,0.000002551393,0.0000258388,0.00001585049,0.00189331,0.00002485699,0.9825144,0.0154799,0.000002104607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006858747,0.08705396,0.5271853,0.01325878,0.002634649,0.00008928807,0.0004670894,0.0007298111,0.3617225],"genre_scores_gemma":[0.536051,0.08166657,0.2727337,0.00420284,0.007674845,0.0009008021,0.0010057,0.0005478584,0.09521667],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01100556,"threshold_uncertainty_score":0.03681725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503921041015406,"score_gpt":0.2559631101659274,"score_spread":0.2409238997557734,"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."}}