{"id":"W2032923445","doi":"10.2139/ssrn.2160674","title":"Easy with Difficulty Objective Functions for Max Cut","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Mathematics; Computer science; Arithmetic","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":[0.002999977,0.002949824,0.001701241,0.002214626,0.00100393,0.003125429,0.003227036,0.002362535,0.02557297],"category_scores_gemma":[0.01332702,0.0009591924,0.00166081,0.001692186,0.001211582,0.006482217,0.00375425,0.005137698,0.002589524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479775,"about_ca_system_score_gemma":0.001049251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084651,"about_ca_topic_score_gemma":0.001521958,"domain_scores_codex":[0.998326,0.0006496165,0.00007125601,0.0002886598,0.0004319192,0.0002325533],"domain_scores_gemma":[0.9934948,0.004564726,0.0003967155,0.0006301107,0.0004619314,0.000451691],"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":[0.0005488769,0.0006549336,0.001404099,0.00116158,0.0001824741,0.0002361562,0.0002503284,0.324657,0.003063157,0.4089364,0.04252119,0.2163839],"study_design_scores_gemma":[0.00008587028,0.0001947554,0.0005826098,0.0001265736,0.00006160768,0.0001899135,0.00008488831,0.4209009,0.001665805,0.5665535,0.009519412,0.00003419014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02768798,0.001011874,0.9339119,0.00119326,0.0002732813,0.000244321,0.0009109974,0.0008197051,0.03394662],"genre_scores_gemma":[0.3956577,0.001284813,0.5489826,0.0007551814,0.0007275441,0.001022391,0.002500913,0.00199232,0.04707655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02557297,"threshold_uncertainty_score":0.08555007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496818131030005,"score_gpt":0.2184014908054379,"score_spread":0.2034333094951378,"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."}}