{"id":"W4383895067","doi":"10.1016/j.cor.2023.106347","title":"Rankability and linear ordering problem: Probabilistic insight and algorithms","year":2023,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Mitacs","keywords":"Pairwise comparison; Algorithm; Probabilistic logic; Computer science; Perspective (graphical); Interpretation (philosophy); Probabilistic analysis of algorithms; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008422709,0.001612533,0.004072636,0.004026154,0.00251565,0.007686186,0.004868097,0.003772061,0.01371307],"category_scores_gemma":[0.04679653,0.002087371,0.002241542,0.007974151,0.006058739,0.01925614,0.004222485,0.007358375,0.001751635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003506908,"about_ca_system_score_gemma":0.003425044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005025321,"about_ca_topic_score_gemma":0.005559062,"domain_scores_codex":[0.9929962,0.003456573,0.0002711669,0.001253262,0.001504352,0.0005185495],"domain_scores_gemma":[0.9603855,0.03216849,0.002025643,0.002658091,0.001831119,0.0009312756],"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":[0.00008295187,0.000116723,0.0006892135,0.0001974984,0.0000457012,0.00006844786,0.0001764768,0.03910675,0.0003125207,0.9195642,0.00581832,0.03382115],"study_design_scores_gemma":[0.00001682227,0.0000164209,0.0001699219,0.00002097126,0.000012932,0.00005744857,0.00003459147,0.1067274,0.0001692625,0.8915845,0.001165252,0.00002449108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01156566,0.001062835,0.97781,0.002270576,0.00008676061,0.00006621533,0.0002907648,0.000177756,0.006669461],"genre_scores_gemma":[0.3531807,0.004272224,0.6134094,0.001066044,0.001662866,0.0005103271,0.001498151,0.0004843975,0.02391583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01371307,"threshold_uncertainty_score":0.04587477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09541336472098304,"score_gpt":0.3875000214888778,"score_spread":0.2920866567678947,"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."}}