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Record W4389830138 · doi:10.1002/9781119525127.index

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2023· paratext· en· W4389830138 on OpenAlexaff
Catharine M. Walsh MD MEd PhD FRCPC, Ahmir Ahmad MBBS BSc MRCP, Brian P. Saunders MD FRCP FRCS, Jonathan Cohen MD FASGE FACG, Peter B. Cotton MD FRCP FRCS, Christopher B. Williams BM FRCP FRCS, Stephen Preston

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineGeneral hospitalMedical schoolGeneral surgeryFamily medicineInternal medicineMedical education

Abstract

fetched live from OpenAlex

ablation, esophageal carcinoma, 74 absolute alcohol, 74, 82, 88 accessories, [18][19] and attachments, 118 accurate steering, sigmoid colon, 131-134 achalasia, 59, 73-74, 73f adenomas, 187 multiple, 201 adherent clot, 85, 88 adhesions, 124, 134, 147 administrators, 10 adverse events, 27-30, 29t, 99-101, 202-204 delayed bleeding, 102, 203, 205 levels of severity, 28, 29t management, 40-41, 100-101 potential, 28 rates, 29, 73, 85, 86 air.See insufflation air pressure perforations, colonoscopy, 100 air/water channels blockage, 21-22 flushing, 23 alcohol (absolute), 74, 82, 88 alongside-the-scope method, 91, 91f, 94, 206 alpha maneuver, 143, 143f "alpha" spiral loop, sigmoid colon, 136, 136f, 142, 142f.See also reversed alpha loop ambulatory endoscopy, 6 American Society for Gastrointestinal Endoscopy (ASGE), 9, 11, 28, 29t, 32 American Society of Anesthesiologists, 31, 32t anal canal, 123, 125, 126, 170,[197][198] sphincters, 123, 125, 201 anastomoses colon, balloon dilation, 205-206 ileo-rectal, bowel preparation, 109 ancillary materials, 32-36 anesthesia (general), 31, 37-40, 113.See also local anesthesia; pharyngeal anesthesia colonoscopy, 104, 112-113 children, 175 risk classification, 32t angiodysplasias, 173-174, 207-208 angiomas, 90 angulus, stomach, 51, 51f, 52, 52f, 54-55, 60 anoscopy (video-proctoscopy), 123, 126, 126f antagonists (reversal agents), sedation, 38t, 39, 113 antibiotics, prophylaxis, 30-31, 70, 102 anticoagulants, 30, 31 polypectomy and, 30, 31, 104, 106, 186, 186t, 205 antiplatelet drugs, 30, 104, 203-205 anti-reflux procedures, 213 antispasmodic agents, 113-114 approaching cecum, 160 glucagon, 39, 53, 79, 113 hyoscine butylbromide, 39, 53, 113 antrum, stomach, 52, 52f-53f, 54, 60, 61, 64, 71, 71f anus, 123, 128 sphincters, 123, 125, 201 anxiolytics, 38 aphthoid ulcers, 173 appendix orifice, 159, 159f, 160 appendix trick, 160, 161, 161b argon plasma coagulation (APC), 20-21, 20f, 89, 103, 181, 181f angiodysplasias, 207-208 cannulas, 181 palliative, 74 arteries, as landmarks, 169 ascending colon, 158-160 ascites, 29, 93, 100, 103 aspiration (pulmonary), 29, 90 prevention, 94 aspiration (suction).See suction aspirin, 31, 106, 188, 198, 204 assessment of patients, 27-32 assistants, 9 hand-pressure, 135f, 138, 150, 150f, 153-157, 156f two-person colonoscopy, 127-128 atrophy, 60, 164, 171 atypical sigmoid loops, 144-145

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.169
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8310.784

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.330
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractno

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