{"id":"W3204318849","doi":"10.1093/jalm/jfab103","title":"Engaging Laboratory Staff in Stewardship: Barriers Experienced by Medical Laboratory Technologists in Canada","year":2021,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stewardship (theology); Context (archaeology); Stakeholder; Resource (disambiguation); Public relations; Knowledge management; Psychology; Stakeholder engagement; Medical education; Business; Engineering; Political science; Medicine; Computer science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.005739744,0.0002491705,0.0004450567,0.001077504,0.01266169,0.003815387,0.002125857,0.001221491,0.002645389],"category_scores_gemma":[0.0240728,0.0005500092,0.0003355236,0.002142088,0.003921961,0.001083226,0.004094583,0.001937491,0.0001696631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08019352,"about_ca_system_score_gemma":0.2081154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783185,"about_ca_topic_score_gemma":0.9849383,"domain_scores_codex":[0.9887282,0.002184098,0.000651127,0.0006604372,0.003595104,0.004181077],"domain_scores_gemma":[0.962205,0.006945045,0.004795683,0.0004080724,0.009052388,0.01659386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003291833,0.0003186057,0.5664278,0.001015759,0.0000797818,0.002036262,0.3513207,0.0004941085,0.002623386,0.00146031,0.008856503,0.06503757],"study_design_scores_gemma":[0.00002737893,0.0002415216,0.5098267,0.0008080241,0.0000470483,0.0003659596,0.4621566,0.0009771906,0.0006299146,0.00029912,0.0245219,0.00009865787],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860043,0.001079777,0.0003561647,0.008074503,0.00004937721,0.00009648043,0.0001402221,0.0000311581,0.004167981],"genre_scores_gemma":[0.9967614,0.0005836837,0.0004104042,0.001310003,0.000007828717,0.0000295564,0.00004447685,0.00001073996,0.0008420008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08019352,"threshold_uncertainty_score":0.5818474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440964051651684,"score_gpt":0.3032921304957392,"score_spread":0.2888824899792223,"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."}}