{"id":"W3135355984","doi":"10.1007/s10726-021-09728-z","title":"Group Decision-Based Construction of Scenarios for Multicriteria Analysis in Conditions of Uncertainty on the Basis of Quantitative and Qualitative Information","year":2021,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Vale Canada Limited","keywords":"Scheme (mathematics); Computer science; Basis (linear algebra); Group decision-making; Data mining; Qualitative analysis; Complete information; Management science; Qualitative research; Operations research; Mathematics; Engineering; Mathematical economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005283047,0.0002031188,0.0007612896,0.001664735,0.0001697492,0.0001330604,0.0002509472,0.0001481955,0.0002160716],"category_scores_gemma":[0.02395565,0.0001439004,0.0002482191,0.002746406,0.000336764,0.000700447,0.00009652627,0.0001177592,0.000003218567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005203127,"about_ca_system_score_gemma":0.00007927119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007820933,"about_ca_topic_score_gemma":0.0005107294,"domain_scores_codex":[0.9950439,0.0008682385,0.00217419,0.0004572425,0.001285557,0.0001708804],"domain_scores_gemma":[0.9614319,0.03489641,0.001342526,0.0005292026,0.001726505,0.00007343877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008292145,0.001137783,0.03478839,0.0002025772,0.0005758881,0.000004313589,0.04670233,0.04814415,0.04829023,0.2358233,0.0006766301,0.5753622],"study_design_scores_gemma":[0.005154455,0.0006314393,0.1990678,0.0005209057,0.0002546474,0.000004191389,0.05987715,0.6089148,0.006822151,0.1182105,0.0002050541,0.0003369499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6593481,0.00005751912,0.3394132,0.0002317908,0.0001491859,0.0003915859,0.0003834179,0.0000051051,0.00002016909],"genre_scores_gemma":[0.922273,0.00003934572,0.07740399,0.0001218191,0.000007063157,0.00003195326,0.0001128369,0.000007124094,0.000002895396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5750253,"threshold_uncertainty_score":0.984266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053639232198567,"score_gpt":0.4351156819622394,"score_spread":0.3297517587423827,"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."}}