{"id":"W2949242496","doi":"","title":"La mobilité interuniversitaire Canada-France a partir de discours biographiques : représentations et stratégies d'adaptation E","year":2010,"lang":"fr","type":"article","venue":"Français dans le monde. Recherches et applications","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; French; Art; Ethnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00257494,0.0003288071,0.0003042852,0.0001699534,0.0009296297,0.0002358269,0.0007153238,0.000577575,0.000118068],"category_scores_gemma":[0.0008062412,0.0003901708,0.0002009826,0.001608488,0.002373148,0.0006389748,0.00008453736,0.001729655,0.00001652622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452091,"about_ca_system_score_gemma":0.003004526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9130696,"about_ca_topic_score_gemma":0.9664389,"domain_scores_codex":[0.9947206,0.003208831,0.0004348587,0.0006666986,0.0004015317,0.0005674962],"domain_scores_gemma":[0.9961262,0.002285766,0.0002763356,0.0007545633,0.0002536457,0.0003034995],"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":[0.00001169151,0.0005605516,0.01561082,0.0001212175,0.0001814153,0.0000189006,0.3444699,0.002264848,0.02999633,0.4486903,0.003739818,0.1543342],"study_design_scores_gemma":[0.0005343784,0.00007070475,0.1261265,0.0001542434,0.0002657945,0.00002439354,0.2170282,0.002990399,0.005612036,0.04502131,0.6011927,0.0009793307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4230031,0.004046596,0.396182,0.1346586,0.0005834231,0.00139661,0.0003259912,0.0003965015,0.03940715],"genre_scores_gemma":[0.8742287,0.0006280359,0.1135108,0.0004375014,0.0001596944,0.0006123165,0.00011134,0.00005507753,0.01025657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5974529,"threshold_uncertainty_score":0.999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220208090366566,"score_gpt":0.3658964886695292,"score_spread":0.3236944077658635,"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."}}