{"id":"W4289026872","doi":"","title":"Norms of concept familiarity and emotional valence for 3,596 French nouns and their contribution in lexical decision","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Institut Universitaire de Gériatrie de Montréal; Université du Québec à Montréal","funders":"","keywords":"Valence (chemistry); Noun; Linguistics; Emotional valence; Psychology; Lexical decision task; Proper noun; Cognitive psychology; Cognition; Philosophy; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.002602714,0.0002296577,0.0003962577,0.0001664956,0.0001372657,0.00008217431,0.0003440424,0.0004077941,0.0002539473],"category_scores_gemma":[0.0008463013,0.000217193,0.0001057254,0.0001835397,0.0003354101,0.00009324858,0.0003226241,0.0003549932,0.000005768906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000705171,"about_ca_system_score_gemma":0.000124637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193838,"about_ca_topic_score_gemma":0.002588681,"domain_scores_codex":[0.9971239,0.001289353,0.0005238379,0.0006437909,0.0001874031,0.0002317205],"domain_scores_gemma":[0.9957224,0.001808045,0.0003315468,0.0008182615,0.0012304,0.00008930516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002224223,0.002166107,0.4181558,0.000592867,0.0001885089,0.000002497556,0.1237315,0.000220229,0.004633992,0.3057909,0.001534424,0.1427608],"study_design_scores_gemma":[0.003318776,0.000005779313,0.9340883,0.001777914,0.00005084124,0.00002105358,0.001598242,0.02326168,0.003303183,0.02957314,0.00240449,0.0005966283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6670192,0.001443166,0.3282685,0.0006015379,0.0002806791,0.0006166241,0.0004686205,0.0000271111,0.001274598],"genre_scores_gemma":[0.9935151,0.0005174588,0.003009517,0.00003533992,0.00002988022,0.00005730979,0.001586879,0.00001859772,0.001229937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5159325,"threshold_uncertainty_score":0.8856872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445668233700315,"score_gpt":0.2681075971231713,"score_spread":0.2536509147861681,"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."}}