{"id":"W2593623602","doi":"10.1186/s12874-017-0314-8","title":"AIMD - a validated, simplified framework of interventions to promote and integrate evidence into health practices, systems, and policies","year":2017,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Psychological intervention; Medicine; MEDLINE; Computer science; Process management; Data science; Business; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.148459,0.0001637387,0.0008109399,0.0005747118,0.002510471,0.00009956452,0.001101876,0.0003824148,0.0003129225],"category_scores_gemma":[0.7564626,0.0001279033,0.00004616459,0.0004949591,0.001572738,0.0004035537,0.001856021,0.0020317,0.00006825571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451353,"about_ca_system_score_gemma":0.006767781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06450381,"about_ca_topic_score_gemma":0.016428,"domain_scores_codex":[0.9400679,0.05414074,0.001871887,0.0007211114,0.001723868,0.001474493],"domain_scores_gemma":[0.8221309,0.1705041,0.002169102,0.001393972,0.001277356,0.002524584],"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":[0.001705075,0.0002813677,0.1771446,0.06867576,0.0001435072,0.00004370869,0.1989272,0.000004461208,0.003298297,0.2892722,0.06982671,0.190677],"study_design_scores_gemma":[0.005657177,0.009115182,0.3857282,0.08564615,0.0001027463,0.0002122108,0.149354,0.00297463,0.0005130784,0.1050407,0.2544275,0.001228481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4174734,0.00154575,0.313764,0.2623135,0.0007983667,0.003751607,0.00005238214,0.00005373294,0.0002471877],"genre_scores_gemma":[0.580717,0.004626881,0.4016683,0.01011153,0.0006229939,0.001279735,0.000005237023,0.00004394105,0.0009243846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6080037,"threshold_uncertainty_score":0.9988629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.97671003119586,"score_gpt":0.851628278677212,"score_spread":0.1250817525186479,"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."}}