{"id":"W3013136188","doi":"10.1111/dmcn.14526","title":"The human rights of children with disabilities during health emergencies: the challenge of COVID‐19","year":2020,"lang":"en","type":"article","venue":"Developmental Medicine & Child Neurology","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Human rights; Internet privacy; Pandemic; Virology; Medical emergency; Political science; Medicine; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003554538,0.0002227549,0.0003989195,0.00006741114,0.0007228532,0.00001346623,0.001265541,0.00003753839,0.00002723188],"category_scores_gemma":[0.0002719368,0.0001163356,0.00005081981,0.0003958342,0.0006986561,0.0001602722,0.0004395759,0.0003149064,0.000002757903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897247,"about_ca_system_score_gemma":0.0002124276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004276484,"about_ca_topic_score_gemma":0.0008571263,"domain_scores_codex":[0.9978657,0.0001949365,0.0006383641,0.0004743158,0.0004501529,0.0003765613],"domain_scores_gemma":[0.9984567,0.0005384879,0.0003080833,0.0004318172,0.00004162766,0.0002232876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009637058,0.0007366185,0.338158,0.001619207,0.001072846,0.0001126382,0.3183987,0.0003931429,0.001551067,0.318332,0.003797104,0.01486493],"study_design_scores_gemma":[0.008278378,0.01309942,0.9289332,0.0004348996,0.00006743232,0.0009109263,0.002712513,0.0003754997,0.005473693,0.006890723,0.03160863,0.001214659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7469302,0.0004489567,0.0007178165,0.2498127,0.0001391824,0.0005672786,0.000005775166,0.00009309731,0.001285013],"genre_scores_gemma":[0.9909431,0.00004800609,0.00006589105,0.008812184,0.00008485687,0.00001785427,0.00000478426,0.00001220117,0.00001116442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5907752,"threshold_uncertainty_score":0.5559676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545769469616444,"score_gpt":0.2773848855756904,"score_spread":0.241927190879526,"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."}}