{"id":"W4400089749","doi":"10.1186/s12911-024-02580-6","title":"Development and usability testing of an online support tool to identify models and frameworks to inform implementation","year":2024,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health and Long Term Care; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Health informatics; Usability; Computer science; Data science; Human–computer interaction; Medicine; Public health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.06967124,0.001902847,0.001214678,0.006818418,0.001592834,0.004670654,0.003397245,0.002013578,0.003690384],"category_scores_gemma":[0.1666141,0.001028173,0.002459339,0.002872559,0.001656804,0.004889074,0.002983844,0.001446905,0.001020754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003639385,"about_ca_system_score_gemma":0.01015949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294019,"about_ca_topic_score_gemma":0.00305272,"domain_scores_codex":[0.958874,0.0234648,0.006706191,0.002478176,0.007116519,0.001360336],"domain_scores_gemma":[0.8159217,0.1279193,0.005318597,0.01611619,0.03291557,0.001808642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009835995,0.005719752,0.03106713,0.00665254,0.0002840725,0.001114623,0.0503809,0.005931638,0.0147545,0.006920747,0.009631245,0.8665593],"study_design_scores_gemma":[0.006785131,0.04266225,0.1389929,0.04214115,0.00229127,0.003964891,0.1181531,0.1978744,0.1170743,0.0398866,0.2879438,0.002230281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5668091,0.0005153514,0.3536311,0.001650681,0.0003219059,0.05779242,0.001772603,0.00521434,0.01229245],"genre_scores_gemma":[0.2309771,0.0002128487,0.7372887,0.0003361753,0.00003262257,0.02866723,0.0009885823,0.0002668972,0.001229866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06967124,"threshold_uncertainty_score":0.3684611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5786394473047256,"score_gpt":0.671414842670741,"score_spread":0.09277539536601542,"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."}}