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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Canadian Journal of Surgery
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,433 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,433 works in the cohort · of 4,299,418page 16 of 29

Labels cover 1 of 1,433 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,433 of 1,433 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affvenueunlabeled
Postoperative fever in the time of COVID-19
Jonathan Bourget-Murray, Bryan J. Heard, Rohit Bansal, Andrew S. Johnson, James Powell
2020· article· en· Canadian Journal of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
The validity of surgical simulation
Riaz Agha, Alexander J. Fowler
2014· article· en· Canadian Journal of Surgery· Medicine
machine prediction:candidate · metaresearchconsensus · none
6
citations
afffundvenueaboutunlabeled
Canadian benchmarks for acute injury care
Lynne Moore, David Evans, Natalie Yanchar, Jaimini Thakore, Henry T. Stelfox, Morad Hameed +5 more
2017· article· en· Canadian Journal of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affvenueaboutunlabeled
Access to orthopedic specialist service in Ontario via eConsult
William J. Hadden, Sheena Guglani, Alenko Sakanovic, Clare Liddy, Brad Meulenkamp
2022· article· en· Canadian Journal of Surgery· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Education through recreation
Vivian C. McAlister
2014· editorial· en· Canadian Journal of Surgery· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
Canadian Spine Society1.01: Do lumbar decompression and fusion patients recall their preoperative status? Recall bias in patient-reported outcomes1.02: Trends and costs of lumbar fusion and disc replacement surgeries in Ontario: a population-based study1.03: Ontario’s Inter-professional Spine Assessment and Education Clinics (ISAEC): patient, provider and system impact of an integrated model of care for the management of LBP1.04: Validation of the self-administered online assessment of preferences (SOAP) utility elicitation tool1.05: Performance indicators in spine surgery: a systematic review1.06: Inter-professional Spine Assessment and Education Clinics (ISAEC): a networked model of care with changes to referral population profile and reduced surgical wait-times1.07: Improving spine surgical access, appropriateness and efficiency in metropolitan, urban and rural settings1.08: Reliability of the spine CPR score among emergency physicians1.09: Deriving a clinical prediction model for degenerative spine disorders1.10: Development of validated computer-based preoperative predictive model for reaching ODI MCID with 86% accuracy based on 198 ASD patients with 2-year follow-up1.11: Validation of the spine CPR score1.12: Can ultrasound detect curve progression of scoliosis without ionizing radiation?1.13: Relationship between age and nonoperative utilization in elective cervical spine surgery1.14: Larger global sagittal correction associated with increased PJK and major complications, but lead to better correction and HRQoL scores1.15: Comprehensive analysis of SRS appearance domain score drivers and comparative relationship to satisfaction in adults2.16: Incremental cost to Canada’s health care system of acute complications following spinal cord injury2.17: The prevalence and natural history of problematic spasticity following traumatic spinal cord injury2.18: Exploring the possibility of using artificial neural networks to predict mortality after spinal cord injury2.19: Developing a new index to predict mortality after spinal cord injury using machine learning techniques2.20: The impact of complications and opportunities to improve function, health and quality of life: our best approach to “cure” SCI today2.21: Delays in time from injury to specialized SCI centres increase in-hospital mortality in acute SCI2.22: The modified extremity motor (MEM) classification: A neurological classification of traumatic central cord syndrome (TCCS)2.23: The stable spine central cord syndrome (SCCS): a prospective surgical cohort2.24: Changes following acute traumatic spinal cord injury: a prospective pilot study on serial MRIs2.25: Next-generation MRI identifies tract-specific injury and predicts focal neurological deficits in degenerative cervical myelopathy: development and characterization of accurate imaging biomarkers for spinal cord pathologies2.26: Translating state-of-the-art spinal cord MRI techniques to clinical use: a systematic review of clinical studies using DTI, MT, MWF, MRS and fMRI2.27: Motor cortex electrical stimulation to promote spinal cord injury recovery in an animal model2.28: Role of muscle damage on loading at the level adjacent to a lumbar spine fusion: a biomechanical analysis2.29: Classifying injury severity and predicting neurologic outcome after acute human spinal cord injury with cerebrospinal fluid biomarkers2.30: Spine surgery a mari usque ad mare3.31: Prognostic factors for survival in a surgical series of symptomatic metastatic epidural spinal cord compression: a prospective North American multi-centre study in 142 patients3.32: Surgical management of spinal osteoblastomas3.33: General population utilities for metastatic epidural spinal cord compression health states3.34: Instrumentation following decompression for spinal metastases — Is there a need for fusion in addition to internal fixation?3.35: Do racial differences affect surgical outcomes in patients with degenerative cervical myelopathy? Results from the prospective, multicentre AOSpine International study on 479 patients3.36: Is preoperative duration of symptoms a significant predictor of functional status and quality of life outcomes in patients undergoing surgery for the treatment of degenerative cervical myelopathy?3.37: Surgery for degenerative cervical myelopathy from an economic and outcome perspective: a cost–utility analysis of the combined data from the AOSpine North America and International studies3.38: Laminoplasty versus laminectomy and fusion to treat cervical spondylotic myelopathy: outcomes of the prospective multicentre AOSpine North America and International CSM studies3.39: The impact of spinal manipulation on lower extremity motor control in lumbar spinal stenosis patients: a single-blind randomized clinical trial3.40: Predictors of improved pain, function and quality of life following elective lumbar spine fusion surgery3.41: Objective measurement of free-living physical activity (performance) in lumbar spinal s
Ilyas Aleem, Yan Xu, Y. Raja Rampersaud, Markian Pahuta, Eric J. Crawford, Mohammad Zarrabian +220 more
2016· review· en· Canadian Journal of Surgery· Engineering
machine prediction:candidate · noneconsensus · none
5
citations

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