{"id":"W4243557460","doi":"10.1075/lis.24.27lab","title":"Lexiques-grammaires comparés","year":2004,"lang":"en","type":"book-chapter","venue":"Lingvisticae investigationes. Supplementa","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexicon; Linguistics; Grammar; French; Representation (politics); Computer science; Natural language processing; Artificial intelligence; History; Philosophy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143156,0.0017045,0.001056965,0.003345361,0.004125185,0.008335648,0.0009359684,0.002235353,0.05706733],"category_scores_gemma":[0.003587906,0.0005756755,0.0008646952,0.003529152,0.004079204,0.006713764,0.001701956,0.005196546,0.01313023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007321552,"about_ca_system_score_gemma":0.002073172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03214303,"about_ca_topic_score_gemma":0.02286951,"domain_scores_codex":[0.9966522,0.001602945,0.0001718353,0.0005742484,0.0007552046,0.0002436879],"domain_scores_gemma":[0.9987494,0.0006287278,0.00008606341,0.0001791047,0.0002980418,0.0000586587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000149959,0.00005909559,0.0008594304,0.0001989548,0.0000423569,0.0004072633,0.004449407,0.0003726517,0.002611358,0.9115988,0.01937377,0.0598769],"study_design_scores_gemma":[0.00006971946,0.00004069462,0.004090778,0.0001501465,0.00002449387,0.0009494958,0.003723069,0.0008249995,0.002814973,0.05429683,0.9329585,0.00005612892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05804089,0.006880031,0.05121773,0.003683474,0.001912631,0.0002054125,0.004678408,0.003632284,0.8697491],"genre_scores_gemma":[0.5714048,0.009103711,0.06310205,0.002013747,0.001751777,0.0006933446,0.01314179,0.00256558,0.3362233],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05706733,"threshold_uncertainty_score":0.1909093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0771958797750529,"score_gpt":0.2779934187513916,"score_spread":0.2007975389763387,"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."}}