{"id":"W4409248947","doi":"10.1111/trf.18234","title":"How do we leverage implementation science to support and accelerate uptake of clinical practice guidelines in transfusion medicine","year":2025,"lang":"en","type":"article","venue":"Transfusion","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Blood Services; Queen's University; Ottawa Hospital","funders":"Health Canada; University College London; Canadian Blood Services; Australian Government","keywords":"Guideline; Leverage (statistics); General partnership; Clinical Practice; Transfusion medicine; Medicine; Management science; Process management; Computer science; Nursing; Political science; Business; Engineering; Blood transfusion; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4686433,0.002095403,0.003584389,0.01116258,0.007146334,0.03967158,0.007663307,0.01625565,0.01013299],"category_scores_gemma":[0.6207068,0.002732064,0.00482432,0.008699833,0.02141336,0.04581618,0.02666234,0.01771096,0.00324195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02454322,"about_ca_system_score_gemma":0.1571554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114087,"about_ca_topic_score_gemma":0.01432429,"domain_scores_codex":[0.5059448,0.427344,0.01779901,0.01067693,0.02583569,0.01239959],"domain_scores_gemma":[0.2463839,0.615185,0.02492909,0.04909563,0.0517008,0.01270562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002792905,0.001222728,0.01655786,0.02399982,0.001073229,0.0004123673,0.04346129,0.005978754,0.0006791843,0.3032971,0.03134416,0.5716942],"study_design_scores_gemma":[0.000964374,0.00118039,0.009821125,0.08420462,0.001137769,0.000417525,0.04753962,0.009112963,0.002960091,0.6629001,0.1793468,0.0004145865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02157142,0.02516746,0.2329172,0.6721587,0.00402278,0.006203328,0.0005463415,0.00100016,0.03641265],"genre_scores_gemma":[0.2382869,0.01648046,0.6803948,0.05220313,0.0009379973,0.009316138,0.00040359,0.0004350361,0.001542031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4686433,"threshold_uncertainty_score":0.6552573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6242818315396532,"score_gpt":0.718350421691282,"score_spread":0.09406859015162883,"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."}}