RANKING: Bureau of Transportation Statistics. Arrivals (Airline Performance): Airline Arrivals On-Time (%) | State: Alabama, Arizona, Arkansas, California | Airport Code: BHM, BUR, LIT, LAX, OAK, ONT, PHX, TUS | Airport Name: Birmingham, AL: Birmingham Municipal, Burbank, CA: Burbank Bob Hope, Little Rock, AR: Adams Field, Los Angeles, CA: Los Angeles International, Oakland, CA: Metropolitan Oakland International, Ontario/San Bernardino, CA: La/Ontario International, Phoenix, AZ: Sky Harbor International, Tucson, AZ: Tucson International, 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-001-001
Bibliographic record
Abstract
Bureau of Transportation Statistics. Arrivals (Airline Performance): Airline Arrivals On-Time (%) | State: Alabama, Arizona, Arkansas, California | Airport Code: BHM, BUR, LIT, LAX, OAK, ONT, PHX, TUS | Airport Name: Birmingham, AL: Birmingham Municipal, Burbank, CA: Burbank Bob Hope, Little Rock, AR: Adams Field, Los Angeles, CA: Los Angeles International, Oakland, CA: Metropolitan Oakland International, Ontario/San Bernardino, CA: La/Ontario International, Phoenix, AZ: Sky Harbor International, Tucson, AZ: Tucson International, 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-001-001 Dataset: A flight is counted as "on time" if it operated less than 15 minutes later the scheduled time shown in the carriers' Computerized Reservations Systems (CRS). Arrival performance is based on arrival at the gate. Airline on-time data are reported each month to the United States Department of Transportation (DOT), Bureau of Transportation Statistics (BTS) by US air carriers that have at least 1 percent of total domestic scheduled-service passenger revenues, plus additional carriers that report voluntarily. The data cover nonstop scheduled-service flights between points within the US as described in 14 CFR Part 234 of DOT's regulations. This dataset contains on-time arrival performance data. Gate arrival time is the instance when the pilot sets the aircraft parking brake after arriving at the airport gate or passenger unloading area. Data are reported for the nation, by state, and by airport and airline. http://www.bts.gov/programs/airline_information/airline_ontime_statistics/ Category: Transportation and Traffic, Industry, Business, and Commerce Subject: Passenger Air Transportation, Air Transportation, Airline Industry, Business Travel, Leisure Travel, Airlines, Airline Operations, Airports, Flight Arrivals Source: Bureau of Transportation Statistics The Bureau of Transportation Statistics (BTS) was established as a statistical agency in 1992. The Intermodal Surface Transportation Efficiency Act (ISTEA) of 1991 created BTS to administer data collection, analysis, and reporting and to ensure the most cost-effective use of transportation-monitoring resources. BTS brings a greater degree of coordination, comparability, and quality standards to transportation data, and facilitates in the closing of important data gaps. http://www.bts.gov/
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 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.017 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.115 | 0.143 |
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".