{"id":"W2959170687","doi":"10.1177/0840470419849468","title":"Lessons learned from a health authority research capacity-building initiative","year":2019,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada); Michael Smith Health Research BC; University of Victoria; Island Health","funders":"Health Service Executive","keywords":"General partnership; Capacity building; Public relations; Health care; Business; Best practice; Knowledge management; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.1429405,0.001053951,0.0008109192,0.002014607,0.02576714,0.0202751,0.00706307,0.00813204,0.005633494],"category_scores_gemma":[0.1133275,0.0009445201,0.001542914,0.001918869,0.01548869,0.00845185,0.02020003,0.0139632,0.0009410765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06212047,"about_ca_system_score_gemma":0.3075764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3456328,"about_ca_topic_score_gemma":0.6032878,"domain_scores_codex":[0.8442455,0.1052828,0.00319374,0.004154703,0.0166859,0.02643734],"domain_scores_gemma":[0.7732173,0.06719137,0.004261098,0.01139438,0.0395211,0.1044147],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005573201,0.005609517,0.02887193,0.00219103,0.000257124,0.005690246,0.2725355,0.005448755,0.003329722,0.1117829,0.2598769,0.3038491],"study_design_scores_gemma":[0.0006340935,0.002602729,0.02359586,0.002372237,0.0001879953,0.0009345056,0.3089423,0.002666387,0.002702635,0.02390181,0.6310739,0.0003855237],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1579954,0.00270812,0.01104453,0.7507831,0.002594525,0.002789121,0.0003215143,0.000736233,0.07102749],"genre_scores_gemma":[0.8830553,0.001701909,0.03951232,0.05137156,0.0006539178,0.001541369,0.0003869365,0.0002970567,0.02147963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8570595,"threshold_uncertainty_score":0.7559508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5902285965519442,"score_gpt":0.5914053967430909,"score_spread":0.001176800191146743,"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."}}