{"id":"W2118016334","doi":"10.1186/1748-5908-9-35","title":"Supporting collaborative use of the diabetes population risk tool (DPoRT) in health-related practice: a multiple case study research protocol","year":2014,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Ottawa; University of Manitoba; Manitoba Health; Public Health Ontario; McMaster University Medical Centre; Barrie Urology Group; McMaster University","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Knowledge translation; Health services research; Medicine; Public health; Population health; Health informatics; Health administration; Health policy; Protocol (science); Population; Knowledge management; Process management; Medical education; Nursing; Environmental health; Computer science; Business; Alternative medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1974159,0.003740158,0.00374678,0.006808044,0.01186725,0.00728894,0.01048816,0.008535364,0.03065371],"category_scores_gemma":[0.1222133,0.004451738,0.00469346,0.005668158,0.00596253,0.006900011,0.00922041,0.009253147,0.00727251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02272749,"about_ca_system_score_gemma":0.1168405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216123,"about_ca_topic_score_gemma":0.02552991,"domain_scores_codex":[0.842729,0.1167387,0.01685173,0.007606716,0.009406917,0.006666925],"domain_scores_gemma":[0.8846116,0.04910032,0.01078176,0.0156568,0.02967666,0.01017298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.03771867,0.06532956,0.0139041,0.06174298,0.0009624443,0.01012759,0.1493169,0.01778553,0.007297883,0.06835435,0.08405519,0.4834049],"study_design_scores_gemma":[0.1300423,0.05221944,0.02519734,0.06266533,0.001370767,0.002064237,0.1169844,0.01647174,0.0142963,0.05841558,0.5187231,0.001549482],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001382486,0.00004661602,0.005072359,0.0002684906,0.00004383486,0.9920626,0.0003365267,0.00002141175,0.0007656431],"genre_scores_gemma":[0.00117203,0.00006043097,0.008413527,0.00008716678,0.000008045477,0.9900624,0.00006997385,0.000001893256,0.0001244585],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1974159,"threshold_uncertainty_score":0.989729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6937433853331183,"score_gpt":0.7743381600609361,"score_spread":0.08059477472781784,"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."}}