{"id":"W1982108162","doi":"10.1007/bf02941128","title":"Multiple criteria analysis in the context of information imperfections: Processing of additional information","year":2005,"lang":"en","type":"article","venue":"Operational Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ambiguity; Context (archaeology); Computer science; Information processing; Process (computing); Computational intelligence; Order (exchange); Adaptation (eye); Bayesian probability; Data mining; Artificial intelligence; Psychology","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":[0.02253808,0.001616349,0.003672961,0.002432042,0.001278349,0.006556493,0.002164309,0.002584298,0.002618492],"category_scores_gemma":[0.08102563,0.0009665001,0.001618992,0.003467443,0.002912563,0.007452544,0.00309492,0.002988421,0.000182915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187103,"about_ca_system_score_gemma":0.00251309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131771,"about_ca_topic_score_gemma":0.001982049,"domain_scores_codex":[0.982128,0.01167144,0.0007120226,0.0012784,0.00358155,0.0006284779],"domain_scores_gemma":[0.892518,0.09299294,0.005009332,0.003414802,0.005067346,0.0009975651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001088295,0.0004324718,0.003014593,0.001592805,0.0009206219,0.001139443,0.001762927,0.5931466,0.005349385,0.1979688,0.001860159,0.1917239],"study_design_scores_gemma":[0.00004713111,0.0001286196,0.0009315968,0.000106012,0.0001064628,0.00008642332,0.000196931,0.8068311,0.001397343,0.18941,0.0006842025,0.00007417452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05456525,0.001267221,0.9385818,0.001350423,0.0001181381,0.0001305014,0.00006844463,0.00006014042,0.003858005],"genre_scores_gemma":[0.7258486,0.001049699,0.2713601,0.0001965927,0.0002699991,0.0002350047,0.00007351557,0.00004201605,0.0009245216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02253808,"threshold_uncertainty_score":0.1191942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2157148105459932,"score_gpt":0.5078727336886218,"score_spread":0.2921579231426286,"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."}}