{"id":"W3157386655","doi":"10.1016/j.plabm.2021.e00223","title":"Communications with lab and POCT users","year":2021,"lang":"en","type":"review","venue":"Practical Laboratory Medicine","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Point-of-care testing; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002576326,0.001060546,0.001322553,0.00281941,0.0007548792,0.003239067,0.001643846,0.003468516,0.238486],"category_scores_gemma":[0.01590936,0.0003844581,0.000848097,0.002833086,0.0006940412,0.003648199,0.002403095,0.002926088,0.2514126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008203592,"about_ca_system_score_gemma":0.003704505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256674,"about_ca_topic_score_gemma":0.001102199,"domain_scores_codex":[0.9977546,0.0004915941,0.0002969583,0.0002621893,0.0009731044,0.0002215203],"domain_scores_gemma":[0.9923075,0.002323998,0.0008518368,0.0004728876,0.00307812,0.0009655816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003655454,0.00001624502,0.00005856337,0.001628467,0.00001143152,0.00006846517,0.0000382003,0.00002619383,0.0003171333,0.001020903,0.7316557,0.2651222],"study_design_scores_gemma":[0.000006355074,0.00001147858,0.00006681726,0.0004933221,0.000004569198,0.0001293546,0.000009891383,0.000009905817,0.00005769959,0.0001641233,0.9990422,0.000004304153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000511891,0.5974277,0.00279737,0.04442643,0.05528476,0.0004978383,0.004053616,0.001492367,0.2935081],"genre_scores_gemma":[0.003526852,0.5835482,0.001851926,0.02704147,0.02608404,0.000553512,0.003925495,0.0003342397,0.3531342],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.238486,"threshold_uncertainty_score":0.797815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012737419786508,"score_gpt":0.3344307166560485,"score_spread":0.2943033424581833,"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."}}