{"id":"W2131655043","doi":"10.1377/hlthaff.22.3.49","title":"Whither Seniors’ Pharmacare: Lessons From (And For) Canada","year":2003,"lang":"en","type":"article","venue":"Health Affairs","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subsidy; Opposition (politics); Variety (cybernetics); Business; Sustainability; Politics; Prescription drug; Public administration; Economic growth; Public economics; Medical prescription; Public relations; Political science; Economics; Medicine; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005858488,0.0001892517,0.0008008549,0.000107094,0.0003094234,0.00004454901,0.0001361219,0.0000918976,0.0004576352],"category_scores_gemma":[0.001244803,0.0002475175,0.00006127597,0.0001120817,0.00003796009,0.0001728753,0.00001742492,0.0001523497,0.0001498505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626084,"about_ca_system_score_gemma":0.001511523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3661115,"about_ca_topic_score_gemma":0.3823959,"domain_scores_codex":[0.9962579,0.0002655555,0.002223631,0.0005716172,0.00007934104,0.0006019516],"domain_scores_gemma":[0.9971296,0.0008423477,0.001150777,0.0003577327,0.00004110461,0.0004784174],"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":[0.00001838227,0.00006184116,0.03566764,0.0005864828,0.00009643364,0.000001337515,0.002984784,0.00007067513,0.000001540068,0.2197948,0.7399553,0.0007607887],"study_design_scores_gemma":[0.001259067,0.00004288093,0.005563198,0.00004491997,0.000004376897,0.000003805314,0.0034658,0.0008472733,0.000008460446,0.01144531,0.9769869,0.0003280108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09927143,0.02625202,0.01024677,0.8277851,0.004920713,0.003410633,0.005914698,0.0001595494,0.02203914],"genre_scores_gemma":[0.949799,0.0004018911,0.005132785,0.04308109,0.0003319022,0.0001953821,0.00007736445,0.00005682726,0.0009237804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8505275,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2957397511595041,"score_gpt":0.4401589844634068,"score_spread":0.1444192333039027,"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."}}