{"id":"W816103523","doi":"","title":"Optimal search trees with 2-way comparisons?","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001304337,0.0003381517,0.0003655246,0.0001439318,0.0001412024,0.0002235442,0.001465189,0.0001837347,0.0007784382],"category_scores_gemma":[0.000001604573,0.0001864227,0.00008036524,0.00003193181,0.0001225212,0.0004329853,0.0009763311,0.0003008226,0.0009090008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003924639,"about_ca_system_score_gemma":0.0001163046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002043852,"about_ca_topic_score_gemma":0.00001988181,"domain_scores_codex":[0.9981126,0.00001524199,0.0002271694,0.0006979642,0.0006152367,0.0003317835],"domain_scores_gemma":[0.998286,0.00009540922,0.00009883253,0.001216828,0.0001212988,0.000181645],"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":[0.00001919668,0.00002105387,0.00001158974,0.000009525065,0.00005170804,0.00007300112,0.00003786759,0.00004236387,0.0000125366,0.8620279,0.04996733,0.08772586],"study_design_scores_gemma":[0.0005863456,0.0003676116,0.000111582,0.000404727,0.00001569373,0.00007066558,0.000005325651,0.01808723,0.0001738392,0.001942063,0.9774719,0.0007629961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000002703416,0.0001169182,0.5231248,0.0002726896,0.00009732728,0.00009956587,0.00002032453,0.0001433295,0.4761224],"genre_scores_gemma":[0.000540045,0.00006510165,0.2200577,0.0001110745,0.0002161416,0.0000050399,0.00001934368,0.00003327417,0.7789523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9275046,"threshold_uncertainty_score":0.9998689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350491136187506,"score_gpt":0.2552714701103656,"score_spread":0.2217665587484905,"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."}}