{"id":"W2792140063","doi":"10.18162/fp.2018.a143","title":"Les enfants réfugiés, la déscolarisation et les technologies mobiles","year":2018,"lang":"fr","type":"article","venue":"Formation et profession","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002893553,0.0005200667,0.0003567486,0.001311394,0.005712842,0.003982582,0.0007290294,0.001283412,0.01869769],"category_scores_gemma":[0.00548867,0.0002037234,0.0003062606,0.001288214,0.003410848,0.003481369,0.005543212,0.001667782,0.002204265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002424767,"about_ca_system_score_gemma":0.00461344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02658292,"about_ca_topic_score_gemma":0.0561194,"domain_scores_codex":[0.9982622,0.00082853,0.00005032211,0.0001422675,0.0002260226,0.0004906253],"domain_scores_gemma":[0.9969587,0.001217323,0.000531002,0.0001576387,0.0004080562,0.0007273076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001516052,0.0002484658,0.08190998,0.0005896265,0.00002282773,0.002239404,0.4661953,0.0002310346,0.002609462,0.1193332,0.01652935,0.3099397],"study_design_scores_gemma":[0.00001486945,0.0003698584,0.06645834,0.0009362368,0.00002542408,0.0009613964,0.5017793,0.0001859431,0.0009612401,0.006293391,0.4219688,0.00004518889],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.73166,0.007894922,0.004054982,0.0262474,0.0006886444,0.0001766622,0.0003872711,0.000088906,0.2288013],"genre_scores_gemma":[0.9128312,0.008194521,0.002836379,0.001368903,0.0001625276,0.0001808892,0.0001506204,0.00003629665,0.07423855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02658292,"threshold_uncertainty_score":0.06254995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04946198397941107,"score_gpt":0.4002919543205692,"score_spread":0.3508299703411581,"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."}}