{"id":"W3047617816","doi":"","title":"KRS Website: Mobile Apps & Resources: Canada COVID-19","year":2016,"lang":"en","type":"article","venue":"","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Mobile apps; Internet privacy; Business; World Wide Web; Computer science; Medicine","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":[0.0002304722,0.0001813179,0.0001724478,0.00009362757,0.000148568,0.0002196561,0.001279096,0.00004785066,0.00019188],"category_scores_gemma":[0.0003118209,0.0001230288,0.00006043145,0.0003745951,0.00003892873,0.0007465095,0.0004244533,0.00007408065,0.0001569934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008688936,"about_ca_system_score_gemma":0.001946747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3213022,"about_ca_topic_score_gemma":0.5987796,"domain_scores_codex":[0.9981824,0.00004791941,0.0002624707,0.0005587272,0.0004879308,0.0004605987],"domain_scores_gemma":[0.9976869,0.0008190993,0.00007003015,0.0008966036,0.00005727219,0.0004701275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008932769,0.0002671658,0.027062,0.0003812207,0.0001730619,0.001357014,0.004004619,0.001036204,0.01378901,0.1744263,0.3945896,0.3828245],"study_design_scores_gemma":[0.0004795085,0.00006393116,0.0006037366,0.00003335701,0.000002954022,0.00002038858,0.00006903808,0.0008729303,0.001479109,0.0008925812,0.9951421,0.000340361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05572671,0.0002008656,0.8779066,0.01734962,0.0005664998,0.0004878316,0.00002672469,0.001006542,0.04672856],"genre_scores_gemma":[0.9740204,0.000005281963,0.001644967,0.01485263,0.00005973917,0.00003523463,8.018994e-7,0.00001315363,0.009367775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9182937,"threshold_uncertainty_score":0.6832173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550492079798509,"score_gpt":0.248168506762377,"score_spread":0.2326635859643919,"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."}}