{"id":"W3209911424","doi":"10.18357/tar121202120153","title":"Health Programs as Social Programs: Navigating Difficult Healthcare Policy Decisions","year":2021,"lang":"en","type":"article","venue":"The Arbutus Review","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Argument (complex analysis); Government (linguistics); Health care; Health policy; Public health; Business; Public economics; Public relations; Actuarial science; Medicine; Political science; Nursing; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0152472,0.0003070275,0.001826834,0.00006931939,0.001081438,0.0001822005,0.0005600961,0.0001262993,0.000166595],"category_scores_gemma":[0.007390914,0.0002828845,0.0003734263,0.001236505,0.0001256934,0.000227084,0.0001895945,0.0005577286,0.003022233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009404843,"about_ca_system_score_gemma":0.001516599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003758754,"about_ca_topic_score_gemma":0.000670304,"domain_scores_codex":[0.9918329,0.0014241,0.004862153,0.0007415995,0.0002269578,0.000912271],"domain_scores_gemma":[0.9948608,0.000631878,0.002898895,0.0009553462,0.0002686175,0.0003845242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006401147,0.0004355941,0.004043047,0.008335095,0.0001642278,0.00000759854,0.00654454,0.000003949727,4.352387e-7,0.4122035,0.04416965,0.5240859],"study_design_scores_gemma":[0.0006249699,0.0001918802,0.003850918,0.009860782,0.00002366665,0.0001345177,0.002238685,0.0001482792,8.480721e-7,0.0335242,0.9487972,0.0006040047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008990138,0.2960359,0.0002003864,0.690365,0.000316493,0.002262267,0.0001031245,0.0001318452,0.001594772],"genre_scores_gemma":[0.1648267,0.2702398,0.006739016,0.5493371,0.003546451,0.002122434,0.001088492,0.000214533,0.001885441],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9046276,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4848743138585541,"score_gpt":0.5267906644647335,"score_spread":0.04191635060617949,"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."}}