{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002107953,0.00005781249,0.0002411453,0.0003753169,0.00002278274,0.000001477434,0.0001328799,0.00006513294,0.000006418706],"category_scores_gemma":[0.0001903433,0.00006181876,0.00002523944,0.0004235703,0.00005277879,0.00007275322,0.00003418042,0.00008080784,0.00000446613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012746,"about_ca_system_score_gemma":0.00001812643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144692,"about_ca_topic_score_gemma":0.0007297008,"domain_scores_codex":[0.998706,0.00001944684,0.0008116505,0.000172289,0.00003730103,0.0002532826],"domain_scores_gemma":[0.9991749,0.00006420696,0.0003634306,0.0002729016,0.00003732473,0.00008724871],"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":[0.000021139,0.00005493591,0.005655335,0.0001164582,0.000006354217,1.838584e-7,0.0005167532,0.00003841879,0.00000203262,0.9503216,0.0004554735,0.04281136],"study_design_scores_gemma":[0.0005395177,0.00003720057,0.5957905,0.00002934115,0.000002172884,6.471714e-7,0.0001698722,0.0001483406,0.00009037741,0.3785146,0.02459893,0.00007855087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1685874,0.003713762,0.01554173,0.6690312,0.0002967988,0.003366688,0.00006685622,0.00004767389,0.1393478],"genre_scores_gemma":[0.9974193,0.000177078,0.0001343996,0.001475445,0.00004126018,0.0003445126,0.000009769215,0.000007964807,0.0003902828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8288319,"threshold_uncertainty_score":0.995136,"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."}}