Vesely v. Armslist
Bibliographic record
Abstract
On April 13, 2011, litka Vesel ("litka") was shot and killed in Illinois by Demetry Smirnov ("Smirnov"), a resident of Canada.Smirnov illegally purchased the handgun he used to commit the crime from a private seller, Benedict Ladera ("Ladera"), a resident of Seattle, Washington, who posted an advertisement for the handgun on armslist.com.Smirnov traveled to Seattle to meet Ladera and, although the handgun was advertised for $400 on armslist.com,Smirnov offered an "extra $200" "because he was from Canada."Compi.~ 34.In this diversity jurisdiction lawsuit, Plaintiff Alex Vesely, as special administrator and next of kin of litka ("Plaintiff') asserts three claims against Defendant Armslist, LLC ("Defendant"): (1) a Wrongful Death Act claim pursuant to 740 Ill.Compo Stat.180/0.01,et seq., alleging negligence;(2) a Survival claim pursuant to 755 Ill.Compo Stat.5/27-6 for pain and suffering occurring before litka Vesel died; and (3) a Family Expense claim under 750 Ill.Compo Stat.65/15 for funeral and burial expenses.Neither Ladera, nor Smirnov is a party to this action.Before the Court is Defendant's motion to dismiss Plaintiff s complaint pursuant to Federal Rule of Civil Procedure 12(b)(6).For the following reasons, the motion is granted.To survive a motion to dismiss under Rule 12(b)(6), a complaint must allege "enough facts to state a claim to reliefthat is plausible on its face."Bell Atl.Corp. v. Twombly, 550 U.S. 544, 570 (2007).That is, a plaintiff s complaint "must actually suggest that the plaintiff has a right to relief, by providing allegations that raise a right to relief above the speculative level."Indep.Trust Corp. v. Stewart Info.Servs.Corp., 665 F.3d 930,935 (7th Cir.2012) (internal quotation marks and citation omitted).The Court accepts as true all well-pleaded facts in Plaintiffs complaint, and draws all reasonable inferences in his favor.Kolbe & Kolbe Health & Welfare BenefitPlan v. Med.ColI. of Wis., 657 F.3d 496,502 (7th Cir.2011).But the Court "need not accept as true legal conclusions, or threadbare recitals of the elements of a cause of
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.005 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".