{"id":"W2915723103","doi":"10.1504/ijmcdm.2019.10019420","title":"PROMETHEE-MP: a generalisation of PROMETHEE for multi-period evaluations under uncertainty","year":2019,"lang":"en","type":"article","venue":"International Journal of Multicriteria Decision Making","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université du Québec à Rimouski; Wilfrid Laurier University","funders":"","keywords":"Period (music); Mathematics; Statistics; Computer science; Econometrics; Philosophy","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":[0.01424326,0.00192203,0.001621646,0.002524379,0.001008188,0.004142461,0.002519783,0.00182274,0.006073635],"category_scores_gemma":[0.02711921,0.0009312601,0.004877949,0.002745955,0.002035895,0.005180401,0.004752066,0.005215804,0.001385285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105116,"about_ca_system_score_gemma":0.002860969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250504,"about_ca_topic_score_gemma":0.003316255,"domain_scores_codex":[0.9885535,0.006233063,0.001277985,0.001152314,0.002316778,0.00046623],"domain_scores_gemma":[0.9888709,0.00700837,0.0009135095,0.001606248,0.001338546,0.0002624402],"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":[0.0001879487,0.0001298577,0.0013338,0.001091591,0.0003847423,0.0004734684,0.0008182693,0.1656,0.00181941,0.6853017,0.004976524,0.1378826],"study_design_scores_gemma":[0.0000639057,0.0002114534,0.0006045051,0.0003927636,0.0001106589,0.0005311129,0.0001510751,0.2828569,0.00227304,0.6703025,0.04238745,0.0001146883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00229519,0.0003879829,0.9894433,0.00039711,0.00007527114,0.0002738568,0.0003373455,0.0002477122,0.006542269],"genre_scores_gemma":[0.1159784,0.0007993814,0.8777475,0.000356146,0.0001308691,0.001297937,0.0006269461,0.0002149533,0.002847818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01424326,"threshold_uncertainty_score":0.07532644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3891271477806561,"score_gpt":0.5382956819936339,"score_spread":0.1491685342129778,"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."}}