{"id":"W4242679017","doi":"10.1007/978-3-030-11298-1_3","title":"Algorithmic Prefix Complexity","year":2019,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Prefix; Kolmogorov complexity; Computer science; Theoretical computer science; Algorithmic complexity; Mathematical economics; Mathematics; Arithmetic; Algorithm; Philosophy; Linguistics","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002422496,0.001030348,0.001229175,0.001389223,0.0003581016,0.001041572,0.01121915,0.0004419477,0.000156739],"category_scores_gemma":[0.00004766487,0.00102743,0.0003205195,0.001009569,0.002097401,0.001519829,0.008151974,0.001376099,0.001469668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030644,"about_ca_system_score_gemma":0.001778783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005930456,"about_ca_topic_score_gemma":0.00005633637,"domain_scores_codex":[0.9912384,0.00009823786,0.001194188,0.003650531,0.002357499,0.001461177],"domain_scores_gemma":[0.9934582,0.0004428152,0.0005633324,0.00457787,0.0005226911,0.0004351608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004668459,0.0001378775,0.00007548407,0.00008881034,0.00001857044,0.0001676828,0.0004628732,0.00186816,0.00001892629,0.4936589,0.0008856091,0.5026124],"study_design_scores_gemma":[0.0005651413,0.0003293047,0.001951413,0.0002984171,0.000008741261,0.0001715334,8.347101e-7,0.6957895,0.00005601442,0.2789795,0.02041372,0.001435851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001760816,0.0003844577,0.8821524,0.0006366291,0.005897599,0.001307786,0.00002162938,0.0007229515,0.1087005],"genre_scores_gemma":[0.01340386,0.000068548,0.9326847,0.001544414,0.001256173,0.00002922122,0.00001622083,0.0001244908,0.05087234],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6939214,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338452218589738,"score_gpt":0.2689099571539633,"score_spread":0.2255254349680659,"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."}}