{"id":"W2339311138","doi":"","title":"Représentation sémantique des images et des mots : Apport des potentiels évoqués cognitifs","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","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":[0.001289023,0.0007857056,0.0003913667,0.001136058,0.0005724118,0.004544517,0.0006592931,0.001391173,0.01137661],"category_scores_gemma":[0.009608086,0.0006302891,0.0008902941,0.0006980471,0.001673011,0.006944496,0.00134658,0.001759973,0.001804926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008661288,"about_ca_system_score_gemma":0.0006851994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004363888,"about_ca_topic_score_gemma":0.002027973,"domain_scores_codex":[0.9990373,0.0002787756,0.00004501355,0.0003194474,0.0002262244,0.00009321645],"domain_scores_gemma":[0.9976526,0.001261316,0.000164066,0.0002910605,0.000523832,0.0001070997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001548034,0.0001832863,0.009440931,0.0008947265,0.0002158584,0.001347648,0.009374784,0.007066373,0.1518825,0.2493929,0.007998759,0.5606542],"study_design_scores_gemma":[0.0003023491,0.000776494,0.06231796,0.0006888738,0.0005939035,0.007102886,0.01294464,0.2823106,0.140264,0.4001949,0.09214816,0.0003552927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2845862,0.002177518,0.6512421,0.002206937,0.0005698804,0.0001368458,0.00105185,0.002653075,0.05537559],"genre_scores_gemma":[0.8818487,0.0008063735,0.1053896,0.0001889784,0.000098665,0.00008070401,0.0005896765,0.0004743953,0.01052285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01137661,"threshold_uncertainty_score":0.03805858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717960667767922,"score_gpt":0.2982007446217899,"score_spread":0.2710211379441107,"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."}}