{"id":"W1594588516","doi":"10.1007/3-540-45105-6_106","title":"On the Treewidth of NK Landscapes","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Treewidth; Computer science; Theoretical computer science; Graph; Pathwidth","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001482621,0.0004059295,0.0004405635,0.00075359,0.000230139,0.0001988045,0.004850992,0.0001886201,0.00004879293],"category_scores_gemma":[0.0002786229,0.0002660314,0.0001511217,0.001012438,0.0009683832,0.000280379,0.0008829194,0.0009087249,0.00003742459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127516,"about_ca_system_score_gemma":0.0002711378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003437505,"about_ca_topic_score_gemma":0.00002350923,"domain_scores_codex":[0.9964856,0.0000989357,0.0003992855,0.001101609,0.001302811,0.0006117843],"domain_scores_gemma":[0.9952609,0.002132337,0.0002480775,0.002017377,0.0002247879,0.0001164978],"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":[0.00001010299,0.0000293096,0.00001861091,0.00002245798,0.00001136025,0.00003186411,0.0003149296,0.01475263,0.0001285762,0.7660144,0.00007124944,0.2185945],"study_design_scores_gemma":[0.0001723192,0.000268541,0.00002140757,0.0002520522,0.000002901739,0.00002499037,1.421816e-7,0.0586394,0.003990219,0.9349281,0.001355395,0.0003445322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001538185,0.0003894323,0.9852006,0.0012691,0.0005912248,0.0003550097,0.000004417473,0.00005785046,0.01197854],"genre_scores_gemma":[0.5444634,0.0003119899,0.4427087,0.009071349,0.0004915804,0.00004799587,0.000005071542,0.0001426019,0.002757331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5443096,"threshold_uncertainty_score":0.9999792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027489627677641,"score_gpt":0.2661022176563283,"score_spread":0.2458273213795519,"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."}}