{"id":"W6912712666","doi":"10.5281/zenodo.5259999","title":"Response To The Invitation For Public Comment National Digital Health Blueprint","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Blueprint; Digital health; White paper; Public health; Government (linguistics); Work (physics)","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":[0.01282418,0.001383147,0.001324428,0.001516019,0.006660812,0.006622049,0.002610508,0.04502023,0.08469124],"category_scores_gemma":[0.06661633,0.0009858533,0.00155032,0.001339285,0.00340129,0.005770696,0.006369543,0.03829316,0.05411464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00925341,"about_ca_system_score_gemma":0.01217183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01523261,"about_ca_topic_score_gemma":0.01546328,"domain_scores_codex":[0.989561,0.002188792,0.000773222,0.0008202061,0.004566312,0.002090452],"domain_scores_gemma":[0.9738504,0.0137424,0.00133237,0.001215126,0.006857017,0.003002736],"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":[0.00002004202,0.000007036705,0.00004713714,0.00002933479,0.00000142361,0.00006727075,0.00009033969,0.0000117081,0.00006365836,0.00126335,0.9972723,0.001126465],"study_design_scores_gemma":[0.00002252495,0.00001633816,0.0004181454,0.0001108811,0.000004866361,0.00004665316,0.0004915454,0.00009443478,0.0001440168,0.001411874,0.9972153,0.00002343621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005396645,0.0004859967,0.0005852419,0.9234704,0.04642319,0.000257496,0.001682124,0.0006603173,0.02589552],"genre_scores_gemma":[0.003694206,0.0002430921,0.0004171871,0.8710758,0.009160396,0.0004728363,0.0004953399,0.0002944148,0.1141467],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08469124,"threshold_uncertainty_score":0.2833204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556884993240227,"score_gpt":0.2908531522289569,"score_spread":0.2252843022965547,"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."}}