{"id":"W7062412460","doi":"","title":"Visual Analytics for Performing Complex Tasks with Electronic Health Records","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual analytics; Analytics; Context (archaeology); Task (project management); Visualization; Bridge (graph theory); Data visualization; Health care; Big data","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002430192,0.0003110187,0.0004276996,0.0001752442,0.0005337824,0.0002084945,0.0002327371,0.00006778185,0.00004912876],"category_scores_gemma":[0.0000053964,0.0003356606,0.000167203,0.0003742545,0.00007382357,0.0005948017,0.0001502801,0.0004478116,0.00002018256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817506,"about_ca_system_score_gemma":0.000582454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313892,"about_ca_topic_score_gemma":0.001007883,"domain_scores_codex":[0.9980564,0.0001202381,0.000245766,0.0005539384,0.0002373128,0.0007864017],"domain_scores_gemma":[0.9987862,0.00008488203,0.0002450754,0.0003266708,0.0003083275,0.0002488251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001445271,0.0001752459,0.990849,0.00004224654,0.0002848115,0.00004158008,0.0002124709,0.0001928402,0.0004360561,0.003493478,0.000002963392,0.004124823],"study_design_scores_gemma":[0.00775767,0.0022976,0.9255517,0.000636927,0.0005918561,0.00007429434,0.006902437,0.0004433318,0.006229733,0.001904841,0.04530827,0.002301297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145987,0.00003785563,0.08412305,0.0002880296,0.00008239578,0.0002719875,0.00006184819,0.00004610496,0.00049004],"genre_scores_gemma":[0.9929448,0.00001113416,0.001023952,0.0002317872,0.000223671,9.17469e-7,0.0002476421,0.0000555657,0.005260558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0830991,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0879594081890446,"score_gpt":0.3331771404742779,"score_spread":0.2452177322852333,"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."}}