{"id":"W2118156848","doi":"10.7202/1006175ar","title":"La lexicographie et l’analyse de corpus : nouvelles perspectives","year":2011,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uppsala Universitet","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01790347,0.001140471,0.001467844,0.011688,0.002952174,0.02143429,0.001562994,0.002626079,0.006519852],"category_scores_gemma":[0.03179551,0.0009517351,0.0009899451,0.01538519,0.0152992,0.02414542,0.004276896,0.004058541,0.001433899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005756602,"about_ca_system_score_gemma":0.005199937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213459,"about_ca_topic_score_gemma":0.01416027,"domain_scores_codex":[0.973509,0.0190832,0.001236527,0.001817648,0.003983598,0.0003701168],"domain_scores_gemma":[0.9410178,0.04934182,0.001299141,0.003999836,0.004031478,0.0003099995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001747215,0.00005331958,0.002723789,0.002167863,0.0001413582,0.0003835548,0.02043916,0.001632759,0.003400754,0.7870985,0.007466147,0.1743182],"study_design_scores_gemma":[0.00004157087,0.00007806664,0.00674804,0.003100552,0.00007789997,0.001269476,0.0282656,0.006321137,0.004943268,0.4339987,0.5150103,0.0001452833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04855083,0.1841793,0.5462463,0.0779941,0.002490525,0.0002948915,0.002601141,0.0007438855,0.1368991],"genre_scores_gemma":[0.3416952,0.1271797,0.4847052,0.006575864,0.00398794,0.001106621,0.002668092,0.001293062,0.03078834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02143429,"threshold_uncertainty_score":0.09468377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06421047437459143,"score_gpt":0.3018341529170365,"score_spread":0.237623678542445,"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."}}