Bibliographic record
Abstract
With hosts Wolfgang Klein and Jack Hardill. Guests:?Richard Davis, President Investor and Strategy Unity Technologies I sit at the intersection of essentially every part of Unity, I am a trusted advisor up and down the organization by providing a 360-degree view of how our ecosystem of investors, competitors and customers think and respond. Skills: Strategic Planning - Leadership - Management - Mergers & Acquisitions (M&A) - Forecasting - Investor Relations - Planning Budgeting & Forecasting - Cash Flow Forecasting - Pre-IPO - Financial Structuring - Business Development - Financial Markets - Accounting - Financial Analysis - Capital Structure - CFOs - Board Development - Public SpeakingMatt Bottomley joined Canaccord Genuity in 2015 and is now an analyst covering the cannabis industry (both in Canada and internationally). Previously, Matt worked as a financial consultant in commercial litigations, preparing business valuations and damage quantification reports with an emphasis on the Canadian pharmaceutical industry. Matt also spent five years in the audit and assurance group at PricewaterhouseCoopers, covering a variety of industries including manufacturing, real estate, automotive and healthcare. Matt is a Chartered Professional Accountant and Chartered Business Valuator and has an Honours Bachelor of Commerce from McMaster University.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.037 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".