{"id":"W4302161751","doi":"","title":"The canadian french language lexical peculiarity","year":2009,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Natural language processing; Computer science; Philosophy","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":[0.0009422752,0.0003762249,0.0003824776,0.004370158,0.005630802,0.003186946,0.0007881551,0.0005031574,0.007855373],"category_scores_gemma":[0.002820595,0.000199051,0.0003318562,0.00481485,0.002870906,0.001484402,0.001318751,0.0006035868,0.0005338811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01247239,"about_ca_system_score_gemma":0.0103861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.894973,"about_ca_topic_score_gemma":0.9337997,"domain_scores_codex":[0.9988151,0.0001257909,0.00006456932,0.0002581074,0.0004404473,0.0002960771],"domain_scores_gemma":[0.9978442,0.0003770202,0.0002160865,0.0001381143,0.00127717,0.0001473312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006752208,0.0000635598,0.2988544,0.001018394,0.0001678323,0.007918655,0.1209187,0.001340106,0.07606793,0.1757565,0.01898709,0.2982316],"study_design_scores_gemma":[0.00001532938,0.00006508079,0.7518251,0.0002321011,0.000151534,0.007039556,0.05376074,0.001181169,0.005420473,0.007515311,0.1725858,0.0002077899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156801,0.003023087,0.001613871,0.001673066,0.0000622272,0.00002845064,0.001475066,0.00008014261,0.07636406],"genre_scores_gemma":[0.9958938,0.0006016102,0.0005432934,0.00008694983,0.00001297775,0.000007070053,0.0002530393,0.00002440142,0.002576869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105027,"threshold_uncertainty_score":0.2112909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.22657613621494,"score_gpt":0.5817169123928674,"score_spread":0.3551407761779274,"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."}}