{"id":"W2032771882","doi":"10.7202/011991ar","title":"Quand les langues font le mur lorsque les murs font peut-être les langues : Mobilis in mobile, ou la linguistique de Nemo","year":2006,"lang":"fr","type":"article","venue":"Revue de l’Université de Moncton","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006866675,0.0004080325,0.0005729602,0.0001177452,0.001265679,0.00009931045,0.0004567665,0.0006897331,0.0001650491],"category_scores_gemma":[0.0004193166,0.0004301734,0.0003160881,0.0003548411,0.0007382138,0.0001323614,0.00021261,0.0005299614,0.00002077723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004426,"about_ca_system_score_gemma":0.0002349686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.526598,"about_ca_topic_score_gemma":0.2716375,"domain_scores_codex":[0.9972992,0.0006815624,0.000365097,0.0005177821,0.000241614,0.0008947788],"domain_scores_gemma":[0.9984627,0.0006291802,0.0002330559,0.0002215811,0.0002395141,0.0002139568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000176576,0.0007384187,0.5519426,0.00076364,0.0002789669,0.002621722,0.1930811,0.002229949,0.0006670945,0.2003887,0.02123374,0.0258774],"study_design_scores_gemma":[0.001028018,0.0001479169,0.11762,0.0005854673,0.0002365544,0.00003739871,0.0864939,0.0004932433,0.0005572529,0.004822731,0.787177,0.0008005623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971097,0.03857294,0.0001447826,0.003894437,0.0002800365,0.0004222841,0.00008104768,0.000151164,0.1593436],"genre_scores_gemma":[0.9276066,0.009739258,0.0007297351,0.00007208096,0.001431884,0.00002742377,0.00004795019,0.00004228622,0.06030274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7659432,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256652930489323,"score_gpt":0.2663070748549251,"score_spread":0.2437405455500318,"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."}}