{"id":"W1496765088","doi":"","title":"Resource allocation in healthcare: implications of models of medicine as a profession.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Resource allocation; Health care; Perspective (graphical); Process (computing); Subject (documents); Management science; Political science; Computer science; Economics; Law; Management; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007501875,0.001075061,0.001118818,0.001945991,0.001874706,0.005395289,0.002364978,0.005605056,0.01033978],"category_scores_gemma":[0.01835256,0.0005465419,0.001337372,0.003310863,0.01045749,0.00837406,0.003129036,0.004104852,0.001306191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008614664,"about_ca_system_score_gemma":0.005699599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008443818,"about_ca_topic_score_gemma":0.007359375,"domain_scores_codex":[0.9949604,0.003586549,0.0001010131,0.0003096221,0.0006761082,0.0003662578],"domain_scores_gemma":[0.9910001,0.00713945,0.0005728883,0.0003245805,0.0004851896,0.0004777804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006830446,0.000009911416,0.0001200743,0.00002003634,0.000005019026,0.00001236751,0.00006783709,0.006558129,0.000008184506,0.989464,0.001434608,0.002293018],"study_design_scores_gemma":[0.000008550821,0.00000759469,0.00009774955,0.00003303267,0.000003392774,0.00001601245,0.0000819354,0.00997121,0.000008632157,0.9851801,0.004587146,0.000004548901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01460047,0.01960777,0.4826382,0.2395732,0.00153619,0.0002230473,0.0003868018,0.0001185828,0.2413159],"genre_scores_gemma":[0.8429398,0.02298831,0.08392391,0.0121264,0.002613278,0.000914885,0.0001722563,0.0001141256,0.03420718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033978,"threshold_uncertainty_score":0.06250399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099646475192863,"score_gpt":0.3147064459568103,"score_spread":0.204741798437524,"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."}}