{"id":"W4296847488","doi":"10.21203/rs.3.rs-2082082/v1","title":"Illustration of a Methodology to Characterize Some Preference Uncertainties in Multicriteria Decision Analysis","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiple-criteria decision analysis; Ranking (information retrieval); Computer science; Stakeholder; Visualization; Preference; Simplicity; Decision analysis; Management science; Software; Sustainability; Decision support system; Risk analysis (engineering); Operations research; Data mining; Engineering; Information retrieval; Mathematics; Business","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":[0.005555512,0.0009220048,0.0004875975,0.002424995,0.0007885105,0.002797633,0.0009310494,0.001170741,0.005497884],"category_scores_gemma":[0.01430375,0.0003678304,0.001009928,0.001901153,0.0011564,0.002046824,0.001802909,0.001357152,0.0004188963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110713,"about_ca_system_score_gemma":0.001143185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001471421,"about_ca_topic_score_gemma":0.001130649,"domain_scores_codex":[0.9965984,0.002257722,0.0001711793,0.0002596051,0.0005880948,0.0001249733],"domain_scores_gemma":[0.9919105,0.006232914,0.0004785701,0.0004122414,0.0008132752,0.0001525666],"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":[0.0001365021,0.0001227855,0.001669149,0.0003696457,0.00008375695,0.0005104843,0.001490028,0.2567795,0.006193286,0.582685,0.003112493,0.1468474],"study_design_scores_gemma":[0.00001957315,0.00005688379,0.0002431463,0.00007815289,0.00001554673,0.0001647154,0.0001696406,0.8191432,0.003265011,0.1693438,0.007463634,0.00003664392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005632053,0.0000609639,0.99152,0.0002181411,0.00001694845,0.00006681509,0.00006253162,0.0001403096,0.002282258],"genre_scores_gemma":[0.1581634,0.0001031412,0.8404008,0.00005490005,0.00001836718,0.0001820735,0.0000707133,0.00004165215,0.0009649904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005555512,"threshold_uncertainty_score":0.02938068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.328582859268596,"score_gpt":0.4698681658321684,"score_spread":0.1412853065635724,"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."}}