{"id":"W4394742515","doi":"10.1136/bmj.q166","title":"Choosing Wisely in a time of resource constraints","year":2024,"lang":"en","type":"editorial","venue":"BMJ","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Computer science; Data science; Resource (disambiguation); Operations research; World Wide Web; Mathematics","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.01285156,0.0003434806,0.001000454,0.0004263487,0.0001806586,0.0000265101,0.0005517773,0.002317614,0.0009583239],"category_scores_gemma":[0.02017897,0.0003394976,0.0001305201,0.0004621356,0.000250183,0.0001351163,0.0004116049,0.006032175,0.003353872],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006689639,"about_ca_system_score_gemma":0.006511447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888951,"about_ca_topic_score_gemma":0.000497825,"domain_scores_codex":[0.9897565,0.005163504,0.002205776,0.0006659306,0.001418249,0.0007899966],"domain_scores_gemma":[0.984362,0.01281477,0.001331499,0.0007818193,0.0004732868,0.0002366437],"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":[0.0001324047,0.00005126912,0.0005442214,0.004607787,0.00004471822,0.00008289987,0.003806898,3.100329e-7,0.00001604306,0.000111637,0.9880837,0.002518149],"study_design_scores_gemma":[0.0005747935,0.00005840979,0.0003237173,0.009194549,0.00005489735,0.000001474152,0.001076531,0.00001111541,0.00000248105,0.0003248148,0.9881029,0.0002742848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002463978,0.001219946,0.00001032791,0.01327759,0.9321774,0.002630109,0.0008900376,0.0002049928,0.04712564],"genre_scores_gemma":[0.001073546,0.0001195568,0.0004232703,0.001289588,0.9778298,0.0002851677,0.0003627974,0.0001618483,0.01845443],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04565242,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.411867973535426,"score_gpt":0.5699890201287048,"score_spread":0.1581210465932788,"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."}}