{"id":"W4287253977","doi":"","title":"Education in humanitarian emergencies: educating through artistic practices","year":2021,"lang":"fr","type":"preprint","venue":"","topic":"Educational Challenges and Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Engineering ethics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004637156,0.0005202236,0.0003619394,0.001267481,0.005044739,0.008117165,0.001247431,0.002039558,0.01729753],"category_scores_gemma":[0.00599177,0.0002946519,0.0005684578,0.000705175,0.00757722,0.004029212,0.00935482,0.004137884,0.002816766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842522,"about_ca_system_score_gemma":0.007442541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005382854,"about_ca_topic_score_gemma":0.01913688,"domain_scores_codex":[0.9966847,0.002162274,0.0000671377,0.0001654442,0.0003057073,0.0006147253],"domain_scores_gemma":[0.9963357,0.001813479,0.0003327056,0.0001762032,0.0002263549,0.001115507],"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":[0.0001140329,0.001647133,0.01107174,0.003016501,0.00005340936,0.0009850292,0.3362664,0.0007733618,0.001349421,0.06403788,0.06140393,0.5192812],"study_design_scores_gemma":[0.0001005061,0.0004951858,0.01911222,0.00902008,0.00005186873,0.0009166102,0.3114441,0.0005788596,0.0006120639,0.04053745,0.6170489,0.00008218583],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2555644,0.03284998,0.01696296,0.09926753,0.003169938,0.0005765986,0.0001554713,0.0002408538,0.5912123],"genre_scores_gemma":[0.896184,0.03001649,0.01318382,0.007447115,0.0005741286,0.0003767354,0.0001041136,0.00008646036,0.05202712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01729753,"threshold_uncertainty_score":0.05786604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1905868911969648,"score_gpt":0.4140235095241191,"score_spread":0.2234366183271543,"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."}}