{"id":"W2900132398","doi":"10.1515/cclm-2018-0634","title":"Communicating laboratory results to patients and families","year":2018,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"","keywords":"Action (physics); Confusion; Computer science; Meaning (existential); Health care; Internet privacy; Psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005621675,0.0002894591,0.0007720253,0.0000369509,0.0009226985,0.00000858658,0.0003353976,0.0005559619,0.0001313577],"category_scores_gemma":[0.01238757,0.0002368449,0.00002602863,0.0005136043,0.0009549329,0.00009523603,0.0003250184,0.001603299,0.00009828144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162376,"about_ca_system_score_gemma":0.0007620866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673378,"about_ca_topic_score_gemma":0.0001331869,"domain_scores_codex":[0.9950787,0.001187962,0.002003366,0.000673929,0.0003198857,0.0007361312],"domain_scores_gemma":[0.9929243,0.003499125,0.0005900203,0.0008830632,0.001117109,0.0009863394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0011255,0.0002984804,0.6912636,0.002784611,0.0001079598,0.00001102607,0.01060432,1.102842e-7,0.004873499,0.0001667183,0.2749056,0.01385851],"study_design_scores_gemma":[0.006406317,0.001171291,0.08635512,0.001950934,0.00005574207,0.000001092101,0.004750063,0.0000394591,0.0005243872,0.00007282582,0.8982241,0.0004486929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784463,0.001240619,0.00001095214,0.005337852,0.0008253704,0.0006445465,0.0001595175,0.0001383928,0.01319644],"genre_scores_gemma":[0.980042,0.001256387,0.0003713341,0.01325509,0.003870175,0.0001028265,0.00006176643,0.00005248498,0.0009879026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6233184,"threshold_uncertainty_score":0.9959315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08386803941326935,"score_gpt":0.4833146527320483,"score_spread":0.399446613318779,"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."}}