{"id":"W3111211325","doi":"10.11124/jbies-20-00218","title":"Absorptive capacity in the adoption of innovations in health care: a scoping review protocol","year":2020,"lang":"en","type":"review","venue":"JBI Evidence Synthesis","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Public Health Ontario; University of Toronto; Centre for Excellence in Mining Innovation; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Absorptive capacity; Knowledge management; CINAHL; PsycINFO; Knowledge translation; Systematic review; Health care; Data extraction; Grey literature; Psychology; MEDLINE; Scopus; Computer science; Medicine; Nursing; Psychological intervention; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.1447968,0.005026134,0.01018464,0.02868005,0.006428057,0.009436156,0.007525443,0.01042016,0.05253124],"category_scores_gemma":[0.1196822,0.005931415,0.01369396,0.01951585,0.006310883,0.01090262,0.01010746,0.007958652,0.01363317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02002899,"about_ca_system_score_gemma":0.1308088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006098981,"about_ca_topic_score_gemma":0.0123649,"domain_scores_codex":[0.9343845,0.02538053,0.0249505,0.004873027,0.007859306,0.002552079],"domain_scores_gemma":[0.9078141,0.03092236,0.01455444,0.006950621,0.03503723,0.004721221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006307857,0.001107822,0.002624588,0.7365903,0.001424629,0.002256016,0.01483366,0.003269229,0.003567596,0.01871682,0.06206043,0.1472412],"study_design_scores_gemma":[0.0112389,0.002138777,0.009104869,0.6207094,0.003077385,0.001113829,0.0105343,0.001869991,0.003158505,0.01686698,0.3195742,0.0006129412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0003812705,0.001229271,0.001533083,0.0004463629,0.0001304224,0.9934239,0.002038222,0.00003954703,0.000777841],"genre_scores_gemma":[0.0003596802,0.001200952,0.004800561,0.0001509086,0.00002161296,0.9926758,0.0005033044,0.000005492969,0.0002815625],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1447968,"threshold_uncertainty_score":0.7657677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6044364294430022,"score_gpt":0.6730403912296107,"score_spread":0.06860396178660844,"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."}}