{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009879072,0.001103905,0.000981567,0.003651217,0.008767486,0.008093715,0.001966375,0.002229818,0.6343743],"category_scores_gemma":[0.004286388,0.0008241892,0.0006419206,0.004787443,0.001218644,0.002412991,0.002763836,0.001891612,0.3086609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02598151,"about_ca_system_score_gemma":0.1007639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9695445,"about_ca_topic_score_gemma":0.9833588,"domain_scores_codex":[0.9979341,0.000058253,0.00004754231,0.0001533846,0.001225257,0.0005814974],"domain_scores_gemma":[0.9895425,0.0004576649,0.0001451345,0.0003665462,0.0071164,0.002371796],"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":[0.00003327478,0.00004283337,0.0004267539,0.00005767692,0.000002155777,0.00002100176,0.00007338748,0.00003921341,0.0001398822,0.001810767,0.9768035,0.02054944],"study_design_scores_gemma":[0.00002102403,0.00001619591,0.003005458,0.00008662033,0.000006330691,0.00002643031,0.0004145911,0.0002606405,0.000315258,0.0003747419,0.9954398,0.00003294048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003273378,0.0007206079,0.0007021906,0.00443985,0.0005703348,0.0002972335,0.06742667,0.005574151,0.9169956],"genre_scores_gemma":[0.006534904,0.0004242243,0.0006082409,0.0006732253,0.00003894934,0.00004980186,0.01049756,0.0008334648,0.9803396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6343743,"threshold_uncertainty_score":0.5215206,"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."}}