{"id":"W6930476295","doi":"10.5281/zenodo.12311525","title":"the electronic health record for the physicians office pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Identification (biology); Population; Government (linguistics); Confidentiality; Limiting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002354207,0.001398244,0.002772346,0.003920897,0.00206703,0.009918075,0.00218753,0.003453553,0.9183573],"category_scores_gemma":[0.02716648,0.0011574,0.0009315805,0.007236435,0.001178278,0.007774755,0.004418978,0.00390546,0.9384856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929613,"about_ca_system_score_gemma":0.004401022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00401563,"about_ca_topic_score_gemma":0.003740694,"domain_scores_codex":[0.996506,0.0004881454,0.000492782,0.0006471945,0.001584547,0.000281428],"domain_scores_gemma":[0.980246,0.002763005,0.001413724,0.003607774,0.009043358,0.002926157],"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":[0.000008583484,0.0000084539,0.00003911993,0.0000766743,0.000001762161,0.000009676584,0.000006083555,0.000006176046,0.00004095525,0.0002968076,0.9843056,0.01520012],"study_design_scores_gemma":[0.00001919703,0.00001018477,0.0003216979,0.0001429891,0.000002840568,0.00002850002,0.0000289241,0.00002084303,0.00004659572,0.0002594549,0.9991106,0.00000818102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002258655,0.001075841,0.0008698161,0.00796837,0.006298394,0.00055992,0.04115736,0.00509821,0.9367463],"genre_scores_gemma":[0.00121762,0.001451034,0.001659326,0.005744397,0.00218257,0.0002998298,0.02452454,0.001656894,0.9612637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9183573,"threshold_uncertainty_score":0.1164534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793679676376101,"score_gpt":0.2780336824965708,"score_spread":0.2600968857328098,"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."}}