{"id":"W3121525229","doi":"","title":"The Paradox of Productivity, Technology, and Innovation in Canadian Healthcare","year":2017,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Health care; Life expectancy; Population ageing; Government (linguistics); Population; Value (mathematics); Business; Economics; Health technology; Growth accounting; Public economics; Economic growth; Total factor productivity; Medicine; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001302866,0.0001297622,0.0002401415,0.0005596306,0.003015863,0.00001763493,0.0004918585,0.0001934732,0.000005426135],"category_scores_gemma":[0.0007130958,0.0001066309,0.00001252673,0.0005689459,0.0006052714,0.0003198172,0.0003202567,0.0006796926,0.0000141859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004751,"about_ca_system_score_gemma":0.0008434741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5330162,"about_ca_topic_score_gemma":0.9222213,"domain_scores_codex":[0.9982288,0.0001480604,0.0005760831,0.000249699,0.0001429022,0.000654439],"domain_scores_gemma":[0.9982477,0.00009478866,0.0003974836,0.0008827797,0.0002377885,0.0001394774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003203496,0.00002283365,0.8890395,0.0002136606,0.000009217933,0.00001422055,0.0007151676,5.004139e-7,0.00002016408,0.0680328,0.02434306,0.01755688],"study_design_scores_gemma":[0.0005050342,0.00006157822,0.407594,0.0004265003,0.000004156464,0.000003508152,0.001531754,0.000007906219,0.00006256111,0.006510359,0.5831926,0.00009996669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6421887,0.0009359877,0.000001696622,0.3529879,0.001368561,0.0008930883,0.0000458843,0.00002367938,0.00155458],"genre_scores_gemma":[0.9944178,0.000351129,0.0001838194,0.004658925,0.0001449129,0.0001102112,0.00002990411,0.00001096763,0.00009236022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588496,"threshold_uncertainty_score":0.9982821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07869753783213305,"score_gpt":0.4515204184712515,"score_spread":0.3728228806391184,"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."}}