{"id":"W4405353052","doi":"","title":"Langues, circulation migratoire et hospitalité","year":2021,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Circulation (fluid dynamics); Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209458,0.0002248171,0.0004500832,0.001424286,0.001693573,0.0044244,0.0003025355,0.001265201,0.02876768],"category_scores_gemma":[0.005636002,0.0000783431,0.0002876384,0.002365211,0.001708637,0.001570454,0.001194068,0.001516468,0.001043545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00221212,"about_ca_system_score_gemma":0.003018586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06418018,"about_ca_topic_score_gemma":0.04695158,"domain_scores_codex":[0.9991872,0.0004380862,0.00004377423,0.00006440491,0.00007914221,0.0001874451],"domain_scores_gemma":[0.9974641,0.001203791,0.0004266039,0.00003853246,0.0002804196,0.0005865908],"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":[0.0005456932,0.0004526575,0.3552826,0.001612774,0.0003642224,0.002004251,0.04462726,0.000649031,0.0008499798,0.2918135,0.09488787,0.2069102],"study_design_scores_gemma":[0.00004116788,0.0002534305,0.6920767,0.002183537,0.0001548701,0.001235442,0.06542581,0.0004194809,0.0001647749,0.01952374,0.2184178,0.0001033287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4222189,0.1691023,0.000951088,0.2440553,0.003935043,0.00003020647,0.00391428,0.0001083421,0.1556845],"genre_scores_gemma":[0.9359126,0.04030031,0.0001642881,0.002617599,0.003913567,0.0000262765,0.0004195995,0.00002024207,0.01662565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06418018,"threshold_uncertainty_score":0.1276132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914194373999751,"score_gpt":0.2738633937874357,"score_spread":0.2547214500474382,"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."}}