{"id":"W2619062177","doi":"10.2139/ssrn.2973339","title":"The Paradox of Productivity, Technology, and Innovation in Canadian Healthcare","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Ontario Brain Institute","funders":"","keywords":"Productivity; Health care; Business; Industrial organization; Knowledge management; Economics; Computer science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007160236,0.0004490483,0.0009542206,0.005528523,0.02109305,0.0150845,0.002360811,0.004391402,0.01485619],"category_scores_gemma":[0.02764169,0.0004099946,0.0006402767,0.01423177,0.01310501,0.005596791,0.003998284,0.005030129,0.0004777625],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2582861,"about_ca_system_score_gemma":0.3033705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947551,"about_ca_topic_score_gemma":0.9956641,"domain_scores_codex":[0.9913454,0.000963611,0.0002678044,0.0005567217,0.00392002,0.002946395],"domain_scores_gemma":[0.9772359,0.006191647,0.001341743,0.0006055836,0.008339685,0.006285401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002648034,0.0001233628,0.02461991,0.0003993953,0.00006802966,0.0004063195,0.01409502,0.001913432,0.0002385397,0.7804245,0.1092548,0.06819189],"study_design_scores_gemma":[0.000267098,0.0001037594,0.2376967,0.001678107,0.0002097811,0.0004032663,0.07099549,0.005964163,0.0004862098,0.2364956,0.445242,0.0004578269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2050304,0.02432225,0.001107057,0.5304211,0.0009956483,0.00005071575,0.001551192,0.00008902972,0.2364325],"genre_scores_gemma":[0.9760939,0.006010681,0.0004357371,0.008166625,0.0002748523,0.00001575394,0.0001921147,0.00003125876,0.00877899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7417139,"threshold_uncertainty_score":0.860283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223859872920633,"score_gpt":0.4238766552159686,"score_spread":0.3916380564867623,"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."}}