{"id":"W4404168103","doi":"","title":"Changement d'avis des préférences des décideurs assisté par un modèle multicritère","year":2024,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Decision model; Economics; Mathematical economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00571967,0.0004648757,0.0004055304,0.0003890666,0.00085966,0.001839994,0.003214205,0.0002066827,0.00007885438],"category_scores_gemma":[0.00123609,0.0004557792,0.0002888229,0.001069152,0.0008131701,0.0004564084,0.006766258,0.0006974327,0.0001523248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916452,"about_ca_system_score_gemma":0.0004147599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088702,"about_ca_topic_score_gemma":0.001852347,"domain_scores_codex":[0.994033,0.00247875,0.0005554535,0.001495793,0.0007452191,0.0006917966],"domain_scores_gemma":[0.9941393,0.0008497217,0.0003343639,0.002082807,0.00229642,0.0002973829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000449674,0.0005888277,0.002156461,0.0006540833,0.0001606329,0.00004652503,0.04195091,0.00009295826,0.004211069,0.07850871,0.001439612,0.8701857],"study_design_scores_gemma":[0.000942506,0.000004646825,0.02691082,0.01504697,0.0002340762,0.00006342647,0.001429264,0.3035466,0.2034472,0.4250958,0.02068115,0.002597526],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1213825,0.006282724,0.8093185,0.01271306,0.0009109151,0.0008241944,0.00006179386,0.0009034197,0.04760283],"genre_scores_gemma":[0.766531,0.001220746,0.2279355,0.0001774187,0.00004398411,0.0002044839,0.00006496032,0.00003453135,0.003787434],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8675882,"threshold_uncertainty_score":0.9997894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094099903944055,"score_gpt":0.2561618761255493,"score_spread":0.2152208770861088,"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."}}