{"id":"W2557625822","doi":"","title":"Generalizing contexts amenable to greedy and greedy-like algorithms","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Greedy algorithm; Generality; Greedy randomized adaptive search procedure; Computer science; Simple (philosophy); Set (abstract data type); Theoretical computer science; Algorithm; Approximation algorithm; Mathematical optimization; Mathematics","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":[0.002409147,0.001080672,0.001146699,0.002149462,0.002207109,0.005240748,0.001645389,0.002034206,0.005804394],"category_scores_gemma":[0.0162085,0.0007801027,0.001896941,0.002331349,0.005092503,0.009963617,0.005980588,0.004185425,0.0009051705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399741,"about_ca_system_score_gemma":0.001092817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584942,"about_ca_topic_score_gemma":0.001473684,"domain_scores_codex":[0.9957235,0.001463517,0.0002315022,0.001181227,0.0008772825,0.0005229416],"domain_scores_gemma":[0.989551,0.006885335,0.0006258592,0.001726468,0.0006201236,0.0005911696],"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":[0.0000366835,0.00002226701,0.0004856295,0.00007535621,0.00001350506,0.00009634143,0.0003097614,0.00672094,0.0003915393,0.9865567,0.00111766,0.00417366],"study_design_scores_gemma":[0.00001381846,0.00001194773,0.0001784241,0.00002244888,0.00001117906,0.0001031597,0.0001099279,0.01754746,0.0001880574,0.9771926,0.004612315,0.000008557745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1690017,0.006119958,0.7044907,0.006507499,0.0002574703,0.0002189154,0.000623384,0.0009579274,0.1118225],"genre_scores_gemma":[0.8731099,0.003819238,0.1119677,0.001250487,0.000654084,0.0002723987,0.0006487092,0.0003106805,0.007966816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005804394,"threshold_uncertainty_score":0.01941764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941707849487074,"score_gpt":0.2631922035951288,"score_spread":0.2437751251002581,"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."}}