{"id":"W2101665621","doi":"10.7202/015837ar","title":"L'impact des mots du vocabulaire maritime sur l'environnement linguistique global du français acadien : l'exemple de haler","year":2007,"lang":"fr","type":"article","venue":"Revue de l’Université de Moncton","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Humanities; Philosophy; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002115418,0.0004447469,0.0003135274,0.001791508,0.004180088,0.004805418,0.000508391,0.0004241147,0.007608307],"category_scores_gemma":[0.00497541,0.0001993431,0.0002719046,0.004111487,0.003756793,0.002643884,0.002174504,0.0009072009,0.0004725133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01575436,"about_ca_system_score_gemma":0.01346458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8800992,"about_ca_topic_score_gemma":0.9350989,"domain_scores_codex":[0.9982962,0.0004656539,0.00008030489,0.0003121313,0.0005639662,0.0002817791],"domain_scores_gemma":[0.9956084,0.001140752,0.0004419133,0.0002675773,0.002267596,0.0002738598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004076177,0.00005790178,0.2670011,0.0009502314,0.0001576573,0.001894868,0.2931523,0.00219795,0.01349666,0.1587532,0.01986047,0.2420701],"study_design_scores_gemma":[0.00002124531,0.0001173146,0.4657721,0.0005676608,0.0001316233,0.0006054896,0.2097747,0.0009857381,0.003219667,0.006237461,0.3124056,0.0001613814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80134,0.003998994,0.004443579,0.006192027,0.0001335514,0.0000461782,0.002104908,0.0001024695,0.1816383],"genre_scores_gemma":[0.9841582,0.0008482269,0.001569892,0.0001963392,0.00001395954,0.00001675392,0.000396745,0.00004803544,0.01275184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199008,"threshold_uncertainty_score":0.2412139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007025551798791599,"score_gpt":0.2146654384496136,"score_spread":0.2076398866508219,"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."}}