{"id":"W2131225295","doi":"10.1142/s0129054107004905","title":"INFORMATION DISTANCE AND ITS APPLICATIONS","year":2007,"lang":"en","type":"article","venue":"International Journal of Foundations of Computer Science","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Universality (dynamical systems); Computer science; Information theory; Theoretical computer science; Tracing; Range (aeronautics); Triangle inequality; Mathematics; Discrete mathematics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001850688,0.00009968043,0.000147893,0.0007413329,0.0001487979,0.0004095431,0.002495987,0.00002802566,0.00000514923],"category_scores_gemma":[0.0001864524,0.00009267117,0.00006386054,0.0008831727,0.0002911171,0.004726924,0.0005088689,0.000129744,0.000008415884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469318,"about_ca_system_score_gemma":0.0003363434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004340306,"about_ca_topic_score_gemma":0.000003011869,"domain_scores_codex":[0.9977573,0.00002067511,0.0007844627,0.0001564402,0.001100866,0.0001803224],"domain_scores_gemma":[0.9954164,0.0003069111,0.0006944146,0.0002785773,0.003168103,0.0001355918],"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":[0.00001198997,0.0001400258,0.0008268501,0.00001092434,0.00002849283,0.000004710665,0.0009199717,0.002280711,0.0006844893,0.3667213,0.00004969291,0.6283208],"study_design_scores_gemma":[0.001861526,0.0005967111,0.1049752,0.0001709705,0.00002443925,0.001385327,0.0001519213,0.7390155,0.01251598,0.08849628,0.05015923,0.0006469547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01840322,0.00007981578,0.9784797,0.00114588,0.001296828,0.000128327,0.000003417995,0.00002420555,0.0004386375],"genre_scores_gemma":[0.744974,0.00002002985,0.2547104,0.000124836,0.0001620315,0.000001673282,0.000001041576,0.000001718056,0.000004296608],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7367347,"threshold_uncertainty_score":0.4638206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218228403692906,"score_gpt":0.2975188154901351,"score_spread":0.285336531453206,"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."}}