{"id":"W2460638073","doi":"10.1016/j.tcs.2007.05.022","title":"Width versus size in resolution proofs","year":2007,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Resolution (logic); Mathematical proof; Exponential function; Theme (computing); Propositional calculus; Computer science; Upper and lower bounds; Mathematics; Calculus (dental); Discrete mathematics; Combinatorics; Artificial intelligence; Geometry; Mathematical analysis","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001590776,0.00007267481,0.00008523399,0.00008938563,0.0003090962,0.000194611,0.0002934479,0.00001886311,0.0005340285],"category_scores_gemma":[0.0001102294,0.00005854043,0.00002343854,0.0001624835,0.002996965,0.0002247903,0.0001293215,0.000114744,0.00007013013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007031744,"about_ca_system_score_gemma":0.00004274491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000252677,"about_ca_topic_score_gemma":0.0006920218,"domain_scores_codex":[0.9989276,0.00003190114,0.0001642449,0.000228473,0.0002996853,0.0003480833],"domain_scores_gemma":[0.9994217,0.0002127665,0.00002510066,0.0001523455,0.00009738178,0.00009069421],"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":[0.00004832406,0.00004093453,0.00008646234,0.000002185428,9.408395e-7,0.00000666296,0.001495093,0.000005516802,0.00008893267,0.9927828,0.00005412231,0.005387984],"study_design_scores_gemma":[0.002213618,0.001234582,0.0373482,0.00008878213,0.00001258691,0.000005292985,0.0003307227,0.04882264,0.003486072,0.8834887,0.02227272,0.0006961355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8162522,0.00001384633,0.008493802,0.0005008327,0.001651448,0.0001680551,0.000001796496,0.00005962329,0.1728584],"genre_scores_gemma":[0.998486,9.043491e-7,0.0009596325,0.0001411628,0.0003003954,0.000001299661,2.676985e-7,0.000003537121,0.0001067609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822339,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477021320565632,"score_gpt":0.2673765226264571,"score_spread":0.2426063094208008,"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."}}