{"id":"W2227306719","doi":"","title":"Milutin Gubash : migrer en formation","year":2015,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Education in Diverse Contexts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420357,0.0004391875,0.0002382201,0.0005957683,0.01219737,0.004231839,0.000714107,0.001041464,0.01461078],"category_scores_gemma":[0.0005054539,0.00017556,0.0001273554,0.001035026,0.004816449,0.001527351,0.004908528,0.002141893,0.001117929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006720405,"about_ca_system_score_gemma":0.005157952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1299956,"about_ca_topic_score_gemma":0.2276586,"domain_scores_codex":[0.9995953,0.0001191922,0.000008431587,0.00003853011,0.00004269566,0.0001958294],"domain_scores_gemma":[0.9998195,0.00002408356,0.0000276434,0.000007350971,0.00002463316,0.00009676773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001849121,0.000109816,0.01346348,0.0003576964,0.000008429367,0.004243691,0.4912217,0.0002226938,0.001315496,0.2544267,0.1468139,0.0876315],"study_design_scores_gemma":[0.00001233983,0.00002948744,0.02554944,0.0003931389,0.000005565384,0.0003601749,0.227285,0.00006089376,0.0001954317,0.003218967,0.7428769,0.00001262967],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3284123,0.04508695,0.0004760009,0.05962802,0.002784181,0.00007299126,0.0001737196,0.0001054741,0.5632604],"genre_scores_gemma":[0.7755556,0.009953326,0.0003473616,0.003074412,0.0003602155,0.0000632234,0.0001109841,0.00008788027,0.2104469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8700044,"threshold_uncertainty_score":0.2584778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893330521989239,"score_gpt":0.2186769214333294,"score_spread":0.199743616213437,"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."}}