{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004074789,0.0003785143,0.0002933686,0.0009891244,0.003752536,0.004281186,0.002733225,0.001834715,0.01021323],"category_scores_gemma":[0.003344955,0.0002573193,0.0003610446,0.0007649318,0.002489245,0.002236344,0.00329838,0.002451524,0.0009736987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003741886,"about_ca_system_score_gemma":0.02267054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05149158,"about_ca_topic_score_gemma":0.2452123,"domain_scores_codex":[0.9985284,0.0006865517,0.00005355451,0.00008109419,0.0003524516,0.0002979412],"domain_scores_gemma":[0.9987502,0.0004531264,0.0001257694,0.00006316615,0.0002173822,0.0003903878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006832073,0.0007221936,0.0117899,0.00154224,0.00002306393,0.0004926994,0.04642846,0.0002634466,0.0005849143,0.03050316,0.1666172,0.7409643],"study_design_scores_gemma":[0.00006358425,0.0004823176,0.05824807,0.01112578,0.00009563869,0.0007796749,0.2927403,0.0002826057,0.001534389,0.01632024,0.6182607,0.00006671979],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1492403,0.1119097,0.004631313,0.4818946,0.003986213,0.0004535296,0.0006519999,0.0003497354,0.2468824],"genre_scores_gemma":[0.6518428,0.1396058,0.04619505,0.0329228,0.0007668021,0.0009567286,0.0006562954,0.0001970004,0.1268567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9485084,"threshold_uncertainty_score":0.1023837,"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."}}