{"id":"W2994901785","doi":"10.4000/12wgh","title":"Lexicalisation des évènements de déplacement en français martiniquais et en français hexagonal","year":2019,"lang":"fr","type":"article","venue":"Archipélies","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Art","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001376669,0.0003853113,0.0003662777,0.0002271318,0.0002577866,0.0001148375,0.0003297029,0.0003280083,0.05071494],"category_scores_gemma":[0.0001216593,0.000412918,0.0002026935,0.000253362,0.0003499588,0.0003216565,0.0001227479,0.0004285066,0.007717126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693854,"about_ca_system_score_gemma":0.000141739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312063,"about_ca_topic_score_gemma":0.00393604,"domain_scores_codex":[0.9962876,0.0013257,0.0005899062,0.0006010528,0.0004235003,0.0007721974],"domain_scores_gemma":[0.9984482,0.0005841912,0.0001332776,0.0005374944,0.00008910043,0.0002077617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002766706,0.0005850588,0.5318079,0.0002954339,0.0002729408,0.00001278711,0.3827054,0.000230433,0.005087278,0.03213701,0.008380672,0.03820839],"study_design_scores_gemma":[0.001673852,0.0003372321,0.8335746,0.000108768,0.0000986292,0.00003097616,0.006919882,0.0002494927,0.0004074122,0.005124621,0.1510494,0.0004251363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9224706,0.001906627,0.0100451,0.002718302,0.00161227,0.0006357542,0.0001678079,0.0001213268,0.06032224],"genre_scores_gemma":[0.9406964,0.0006403242,0.002195746,0.001794269,0.0006878329,0.00008903334,0.0004270893,0.00007393178,0.05339539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757855,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758712199756807,"score_gpt":0.3264434156610704,"score_spread":0.3088562936635024,"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."}}