{"id":"W3018545896","doi":"10.12927/hcq.2020.26177","title":"Leveraging Digital Infrastructure for Data Analysis: An Example in Bariatric Surgery","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber River Regional Hospital","funders":"","keywords":"Electronic medical record; Best practice; Medical record; Patient data; Medicine; Digital health; Data science; Medical emergency; Knowledge management; Computer science; Health care; Surgery; Internet privacy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04034961,0.0008961743,0.0006960841,0.006478613,0.001799021,0.007354142,0.002136527,0.003030129,0.002066426],"category_scores_gemma":[0.08985467,0.0007475737,0.00158597,0.01398181,0.003894513,0.0113195,0.006511379,0.004599218,0.0008237848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134368,"about_ca_system_score_gemma":0.003092676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004945819,"about_ca_topic_score_gemma":0.00519557,"domain_scores_codex":[0.9557899,0.0357377,0.002350931,0.001473904,0.003843563,0.0008039033],"domain_scores_gemma":[0.793489,0.175633,0.006004026,0.01309544,0.009140372,0.002638273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007906707,0.000767374,0.2319837,0.004140417,0.0008285439,0.005371784,0.01450537,0.009620438,0.002961919,0.09249559,0.06289084,0.5736434],"study_design_scores_gemma":[0.000270547,0.001151307,0.1550651,0.01008532,0.0005608586,0.01148575,0.0323005,0.06726301,0.008325075,0.2464891,0.4662833,0.0007201224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.2322593,0.05565251,0.2942941,0.3625543,0.002077066,0.001338458,0.006324718,0.002845591,0.04265392],"genre_scores_gemma":[0.4946769,0.03280518,0.4570826,0.007679693,0.001378493,0.0005250084,0.003132275,0.0004736845,0.002246185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04034961,"threshold_uncertainty_score":0.2133917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051436104847558,"score_gpt":0.3239270335364054,"score_spread":0.2187834230516496,"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."}}