Bibliographic record
Abstract
What's Changed 1.14 backport: boards: arkv6x fix wrong pwm output values by @AlexKlimaj in https://github.com/PX4/PX4-Autopilot/pull/22271 [BACKPORT v1.4] mavlink: properly set mission_type by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22309 [BACKPORT v1.4] Fix MAVLink forwarding by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22310 [v1.14] gps: update to latest release/1.14 branch by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22311 [1.14] PositionSmoothing: fix corner altitude bug by @MaEtUgR in https://github.com/PX4/PX4-Autopilot/pull/22342 [BACKPORT v1.14] Remove SYS_USE_IO param by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22339 [RELEASE/1.14] Autotune: fix state machine stuck in "Initializing" by @bresch in https://github.com/PX4/PX4-Autopilot/pull/22396 [BACKPORT v1.14] icm45686: fix dt (and usage command) by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22416 [1.14] Fix terrain estimator validity issue by @bresch in https://github.com/PX4/PX4-Autopilot/pull/22423 1.14 backport: flight mode manager: fix terrain hold by @AlexKlimaj in https://github.com/PX4/PX4-Autopilot/pull/22332 Fix TECS init when switching into a altitude controlled mode only once in air by @sfuhrer in https://github.com/PX4/PX4-Autopilot/pull/22500 Navigator: Avoid attitude stepoint resets by not going into Takeoff mode if VTOL_Takeoff is selected in-air by @sfuhrer in https://github.com/PX4/PX4-Autopilot/pull/22519 [1.14] Fix Helicopter saturation logic by @MaEtUgR in https://github.com/PX4/PX4-Autopilot/pull/22528 1.14 backport - Pr ver px4io check backport by @AlexKlimaj in https://github.com/PX4/PX4-Autopilot/pull/22527 matrix: fix slice to slice assignment to do deep copy by @MaEtUgR in https://github.com/PX4/PX4-Autopilot/pull/22578 [1.14] fmu-v6x: add crossfire UART driver by @MaEtUgR in https://github.com/PX4/PX4-Autopilot/pull/22619 [BACKPORT v1.14] fmu-6x: fix Telem2 without flow control by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22713 [BACKPORT 1.14] fix FunctionActuatorSet: if a param is set to NaN, it should be ignored by @bkueng in https://github.com/PX4/PX4-Autopilot/pull/22715 param translation: fix too early return by @sfuhrer in https://github.com/PX4/PX4-Autopilot/pull/22729 [1.14] septentrio gps: only overwrite Stream1 in the autoconfig instead of all by @bkueng in https://github.com/PX4/PX4-Autopilot/pull/22759 [BACKPORT v1.14] KakutesH7/H7v2/H7mini: use EKF2 by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22828 [BACKPORTS v1.14] 6X rev6 and rev8 as well as PAB ID and FMUM split by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22814 [BACKPORT v1.14] Fix KakuteH7 icm42688p imu issue by @julianoes in https://github.com/PX4/PX4-Autopilot/pull/22959 [BACKPORT] px4_fmu-v6x:Add Holybro Pixhawk Jetson Baseboard ver 0x100 by @davids5 in https://github.com/PX4/PX4-Autopilot/pull/23125 Full Changelog: https://github.com/PX4/PX4-Autopilot/compare/v1.14.0...v1.14.3
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 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 | 0.009 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.653 | 0.671 |
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".