{"id":"W2070567176","doi":"10.5555/365411.365445","title":"A probabilistic analysis of a greedy algorithm arising from computational biology","year":2001,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Greedy algorithm; Probabilistic analysis of algorithms; Probabilistic logic; Computer science; Theoretical computer science; Algorithm; Computational complexity theory; Mathematical optimization; Mathematics; Artificial intelligence","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":[0.005970629,0.00130382,0.001741135,0.003589133,0.001888849,0.003726629,0.004339927,0.003600916,0.00579885],"category_scores_gemma":[0.0437634,0.001313081,0.001979221,0.004251784,0.00521744,0.007961595,0.004359144,0.003953495,0.001018974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002497314,"about_ca_system_score_gemma":0.002235503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947154,"about_ca_topic_score_gemma":0.001721945,"domain_scores_codex":[0.9957624,0.001566582,0.0001862756,0.0006195669,0.001538131,0.0003270123],"domain_scores_gemma":[0.9684742,0.02579987,0.001326664,0.002013314,0.001782592,0.0006033299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008553229,0.00004630211,0.0008317804,0.0001588026,0.00005256688,0.00007052637,0.0001686345,0.1060867,0.00106641,0.8613429,0.003027737,0.02706215],"study_design_scores_gemma":[0.00001656954,0.00002996645,0.0002650449,0.00003546275,0.0000276037,0.0001198238,0.00002673453,0.4085779,0.0004705252,0.5888122,0.001594764,0.00002347822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009229517,0.0006801766,0.9847702,0.001179569,0.0000816797,0.00004922627,0.0000830266,0.0001665853,0.003760091],"genre_scores_gemma":[0.4439439,0.003489366,0.5357656,0.001356554,0.001272497,0.0005357518,0.0006717145,0.0008017701,0.01216275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005970629,"threshold_uncertainty_score":0.0315761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935530641004397,"score_gpt":0.2753138278994173,"score_spread":0.2559585214893733,"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."}}