{"id":"W7047308308","doi":"","title":"The funding and data tracking needed to fix Canada's health-care system","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracking (education); Politics; Government (linguistics); Tracking system; Data collection","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":[],"consensus_categories":[],"category_scores_codex":[0.02230555,0.0009045135,0.0008316613,0.004946453,0.01454128,0.01521608,0.00352172,0.005944041,0.02924368],"category_scores_gemma":[0.08943472,0.0009467535,0.0009800933,0.007412042,0.005446877,0.007151031,0.006762752,0.0082639,0.005030735],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07807034,"about_ca_system_score_gemma":0.4105619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9761471,"about_ca_topic_score_gemma":0.9763217,"domain_scores_codex":[0.975273,0.003848125,0.0009996655,0.001225521,0.01315046,0.005503207],"domain_scores_gemma":[0.8839792,0.01954452,0.003889005,0.01007276,0.05450473,0.02800985],"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":[0.00003770268,0.00002596658,0.005332996,0.0001685372,0.00003574258,0.000108835,0.0006772799,0.0007154814,0.0002347943,0.01756139,0.8996575,0.07544384],"study_design_scores_gemma":[0.00006267709,0.0000311473,0.0149023,0.0009058592,0.00005305555,0.0001010265,0.002794309,0.00125149,0.0003317645,0.008978887,0.9704722,0.0001152893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004787265,0.004863571,0.003274306,0.9008883,0.007791784,0.0002568637,0.00562642,0.00119692,0.07131456],"genre_scores_gemma":[0.1744595,0.02165005,0.06755981,0.4517044,0.007489921,0.0007831847,0.0146466,0.001743858,0.2599627],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9219297,"threshold_uncertainty_score":0.5664426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152420265741716,"score_gpt":0.2165244412901635,"score_spread":0.2050002386327464,"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."}}