{"id":"W636979822","doi":"","title":"L’immigrant et la grande traversée des mots","year":2000,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000226473,0.0003748444,0.0004216719,0.0001343164,0.001452284,0.0001567467,0.0003320881,0.000195028,0.01631762],"category_scores_gemma":[0.00003932975,0.0003572673,0.0004550007,0.0001488451,0.0006805308,0.0002628658,0.00008545904,0.0003160681,0.001104808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183808,"about_ca_system_score_gemma":0.00002759994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1281819,"about_ca_topic_score_gemma":0.4338026,"domain_scores_codex":[0.9982126,0.0002281494,0.0002474485,0.0004058198,0.0003018791,0.0006040395],"domain_scores_gemma":[0.9989997,0.0001327066,0.0001154763,0.0003241754,0.0001578513,0.0002700998],"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":[0.000331637,0.0003992332,0.0002054687,0.0001966678,0.001164927,0.01018751,0.09813929,0.0009461112,0.0001017029,0.6464376,0.05793147,0.1839583],"study_design_scores_gemma":[0.001023793,0.00009356027,0.0005500247,0.0001246401,0.0008929094,0.000277151,0.009660105,0.0006819571,0.00003128128,0.006284858,0.9799013,0.0004784669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5748996,0.07009348,0.0001063787,0.0160009,0.0004694086,0.0002441745,0.0006241729,0.0002295702,0.3373324],"genre_scores_gemma":[0.4220159,0.01975363,0.0002639928,0.0003963988,0.0005245876,0.000002092824,0.00007690791,0.00003737337,0.5569292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9219698,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006995625941980109,"score_gpt":0.1702601310574094,"score_spread":0.1632645051154293,"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."}}