{"id":"W7055017605","doi":"","title":"Best and Promising Practices to Prevent Early School Leaving and Promote School Inclusion of Migrant
\\nand Refugee Children in Italy, Europe, Canada and the US: Strengths and Weaknesses from the Field","year":2020,"lang":"en","type":"book-chapter","venue":"Institutional Research Information System University of Turin (University of Turin)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Social Fund; European Commission; Erasmus+; Imperial College London","keywords":"Refugee; Inclusion (mineral); Field (mathematics); Strengths and weaknesses; Immigration","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":[],"consensus_categories":[],"category_scores_codex":[0.0004213582,0.0001339445,0.0002589825,0.000190454,0.0005197769,0.00004571893,0.0003123472,0.000103504,0.00001005371],"category_scores_gemma":[0.0002571693,0.0001215297,0.00002678387,0.0001308029,0.0003316882,0.0007587653,0.0007981652,0.0003920706,0.000002105551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386217,"about_ca_system_score_gemma":0.0003731086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1885753,"about_ca_topic_score_gemma":0.06127314,"domain_scores_codex":[0.9989659,0.00006959162,0.0002106749,0.0001628707,0.0004786265,0.0001124017],"domain_scores_gemma":[0.9987743,0.0004184236,0.0002538095,0.000175549,0.0002356787,0.0001421955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.02423664,0.0007977553,0.1344006,0.0555236,0.01113609,0.0007923421,0.2310482,0.03936249,0.005984567,0.3322524,0.04238343,0.122082],"study_design_scores_gemma":[0.01409123,0.0008196904,0.552524,0.02131999,0.0008574414,0.0001749447,0.02444183,0.01403046,0.001135813,0.001050177,0.3676214,0.001933036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906589,0.0005062101,0.0001733385,0.001579068,0.00001964651,0.001014974,0.0003152606,0.00001451988,0.005718068],"genre_scores_gemma":[0.9982079,0.0008135755,0.0002679593,0.00001593724,0.00001702572,3.658994e-7,0.00002743002,0.000005090107,0.0006447315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4181235,"threshold_uncertainty_score":0.9558562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272560227202911,"score_gpt":0.2206843284614932,"score_spread":0.2079587261894641,"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."}}