{"id":"W3110678891","doi":"10.1093/jalm/jfaa200","title":"Point-of-Care Testing: The Good, the Bad, and the Laboratory Oversight","year":2020,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Canadian Electricity Association; University of Ottawa","funders":"","keywords":"Turnaround time; Point-of-care testing; Test (biology); Point of care; Medicine; Patient care; Laboratory test; Medical physics; Medical emergency; Medical laboratory; Operations management; Engineering; Pathology; Nursing; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007675301,0.0002876144,0.0009453035,0.00004454224,0.0004007093,0.00003040375,0.0006986564,0.0001200543,0.0001529711],"category_scores_gemma":[0.006157325,0.00009524032,0.0001147204,0.001194133,0.002040091,0.0001301106,0.0001376744,0.001632126,0.00001109333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003647353,"about_ca_system_score_gemma":0.0006197973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484191,"about_ca_topic_score_gemma":0.000006816039,"domain_scores_codex":[0.996298,0.0009570819,0.001259572,0.0001977883,0.001016325,0.0002712018],"domain_scores_gemma":[0.9844751,0.01108532,0.001780081,0.0007640017,0.001577364,0.0003181794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1192862,0.0008821344,0.009301403,0.00233315,0.006977732,0.0004100898,0.1859264,0.0004183414,0.1959639,0.2389557,0.2147456,0.02479926],"study_design_scores_gemma":[0.03250539,0.004009114,0.008797811,0.0006938663,0.007186957,0.0001220324,0.1113196,0.0004769277,0.003114233,0.001086696,0.830273,0.0004143514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4043297,0.03723423,0.0001490173,0.5452141,0.0007636392,0.002267659,0.00008371827,0.00005539341,0.009902581],"genre_scores_gemma":[0.9452454,0.0009164771,0.00009914829,0.05152781,0.002148818,0.000008120139,0.000001695462,0.00003448857,0.00001803254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6155274,"threshold_uncertainty_score":0.7516801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074207653550087,"score_gpt":0.3078321827734166,"score_spread":0.2670901062379157,"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."}}