{"id":"W2978442476","doi":"","title":"Canada’s data plan: we need a data strategy that supports our values and encourages innovation","year":2019,"lang":"en","type":"article","venue":"","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Business; Big data; Data science; Computer science; Knowledge management; Public relations; Political science; Geography; Data mining","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":[0.002004475,0.0001128923,0.0002056953,0.0001002427,0.0003553143,0.0000211558,0.0004800532,0.0001484394,0.0008659331],"category_scores_gemma":[0.0003304841,0.00008474936,0.000003170093,0.0001658188,0.00001037003,0.0007716081,0.0004956241,0.0004815097,0.0001081349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007234059,"about_ca_system_score_gemma":0.004211433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3145078,"about_ca_topic_score_gemma":0.2774899,"domain_scores_codex":[0.9981641,0.0001393504,0.0005923811,0.0002867369,0.0004292215,0.0003881898],"domain_scores_gemma":[0.9981063,0.0002411103,0.0002730359,0.001120698,0.0001018576,0.0001569726],"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":[0.00001884605,0.000006726901,0.03523374,0.000643055,0.000008615742,0.00000217809,0.0004849418,0.000001614361,0.000006934027,0.002006492,0.9550735,0.006513395],"study_design_scores_gemma":[0.001774171,0.0001233827,0.07816128,0.0007071224,0.00003149268,0.00001133057,0.06094624,0.04446531,0.000013941,0.001089049,0.8122545,0.0004221899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5957978,0.0004909749,0.002332586,0.2559995,0.006361832,0.00405389,0.003643526,0.0004557974,0.130864],"genre_scores_gemma":[0.9749994,0.0002214867,0.0003523731,0.007350247,0.0002448284,0.000007700972,0.005635483,0.00001046187,0.011178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3792016,"threshold_uncertainty_score":0.948136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4685738991880469,"score_gpt":0.4771609300120639,"score_spread":0.008587030824017017,"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."}}