{"id":"W2070020528","doi":"10.3166/tsi.31.423-453","title":"Traits de personnalité computationnels. Enrichissement de la taxonomie FFM/NEO PI-R avec des gloses WordNet liées à des adjectifs de personnalité","year":2012,"lang":"fr","type":"article","venue":"Techniques et sciences informatiques","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"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":[0.001417954,0.0006298766,0.0003103181,0.00203999,0.0008256957,0.002696518,0.0004538048,0.0004820994,0.00411789],"category_scores_gemma":[0.005437248,0.0002603507,0.001048115,0.001578687,0.001758461,0.003752746,0.0008661056,0.001093864,0.001071423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274612,"about_ca_system_score_gemma":0.001069388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008222033,"about_ca_topic_score_gemma":0.005626902,"domain_scores_codex":[0.9983753,0.0004634393,0.0001463998,0.0004787795,0.000446755,0.00008933737],"domain_scores_gemma":[0.9980723,0.0008396102,0.0002354713,0.0002949816,0.0004711163,0.00008648252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001695096,0.0000664862,0.02299144,0.0005067228,0.00009924969,0.0005203199,0.006960123,0.005653778,0.02021647,0.7181624,0.003630664,0.2210228],"study_design_scores_gemma":[0.0000432872,0.0002553048,0.07875875,0.0005063305,0.000146063,0.003233797,0.007576669,0.1161631,0.01856425,0.5953326,0.1791489,0.0002709325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2275267,0.00179363,0.7128787,0.001095245,0.0002364874,0.0002456509,0.002374349,0.001643957,0.05220514],"genre_scores_gemma":[0.6726432,0.000630406,0.3146352,0.0001355997,0.00008435667,0.0002212075,0.002212281,0.0001752062,0.009262542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008222033,"threshold_uncertainty_score":0.01634836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09869135199721292,"score_gpt":0.4542830871920822,"score_spread":0.3555917351948693,"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."}}