{"id":"W1509147818","doi":"10.1080/03155986.2002.11732659","title":"Une Introduction à La Modélisation Des Préférences<sup>1</sup>","year":2002,"lang":"fr","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Syntax; Preference; Point (geometry); Mod; Computer science; Linguistics; Mathematics; Philosophy; Artificial intelligence; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01031785,0.0002667723,0.0003775596,0.001123581,0.001494991,0.00632572,0.0005168593,0.0003996889,0.001597907],"category_scores_gemma":[0.003756561,0.0002282,0.0000987753,0.001717174,0.0009332921,0.01162862,0.0002142965,0.0006259633,0.005176098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545429,"about_ca_system_score_gemma":0.0003115724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675742,"about_ca_topic_score_gemma":0.00004875738,"domain_scores_codex":[0.993792,0.0006535706,0.001882386,0.0004113118,0.002677188,0.0005835234],"domain_scores_gemma":[0.9939312,0.001694161,0.0003220022,0.0004926173,0.003234343,0.000325625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000436902,0.00007397163,0.0005903082,0.00008096106,0.00001988766,0.000002723419,0.009502308,0.1239364,0.000006887482,0.0692987,0.08544659,0.7109976],"study_design_scores_gemma":[0.0003617591,0.0001343863,0.0004733835,0.0001029835,0.000005864481,0.0001271217,0.005890594,0.4552795,0.00000827531,0.005035707,0.5324092,0.0001712055],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8584901,0.005461516,0.01437129,0.02221944,0.00341347,0.002219327,0.0004822169,0.0001125366,0.09323009],"genre_scores_gemma":[0.9718896,0.001140339,0.0009734255,0.0001616554,0.001243213,0.0001350113,0.0001262511,0.00001497036,0.0243156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7108264,"threshold_uncertainty_score":0.9998049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220074527927557,"score_gpt":0.4202759952893328,"score_spread":0.2002014673617758,"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."}}