Bibliographic record
Abstract
This chapter contains sections titled: Definition of ‘Environmentally Friendly Lubricants’ Current Situation Statistical Data Economic Consequences and Substitution Potential Agriculture, Economy, and Politics Political Initiatives Tests to Evaluate Biotic Potential Biodegradation Ecotoxicity Emission Thresholds Water Pollution The German Water Hazardous Classes German Regulations for Using Water-endangering Lubricants (VAwS) Environmental Legislation 1: Registration, Evaluation and Authorization of Chemicals (REACh) Registration Evaluation Authorization Registration Obligations Globally Harmonized System of Classification and Labeling (GHS) Environmental Legislation 2: Dangerous Preparations Directive (1999/45/EC) Environmental Legislation 3: Regular use Environmental Liability Law The Chemicals Law, Hazardous Substances Law Transport Regulations Disposal (Waste and Recycling Laws) Disposal Options for ‘Not water pollutant’ Vegetable Oils Environmental Legislation 4: Emissions Air Pollution Water Pollution German Law for Soil Protection German Water Law Waste Water Charges Clean Air: German Emissions Law Drinking Water Directive Standardization of Environmentally Compatible Hydraulic Fluids The German Regulation VDMA 24568 ISO Regulation 15380 Environmental Seal Global Eco-labeling Network European Eco-label The German ‘Blue Angel’ Nordic countries (Norway, Sweden, Finland, Iceland) – ‘White Swan’ Requirements Concerning Renewable Resources Requirements Concerning Re-refined Oil Requirements Concerning Environmentally Harmful Components Requirements for Hydraulic Fluids, Mould Oil, Metalworking Fluids The Canadian ‘Environmental Choice’ (Maple Leaf) Other Eco-labels Austria France Japan USA The Netherlands Base Fluids Biodegradable Base Oils for Lubricants Synthetic Esters Polyglycols Polyalphaolefins Relevant Properties of Ester Oils Evaporation Loss Viscosity–Temperature Behavior Boundary Lubrication Additives Extreme Pressure/Antiwear Additives Corrosion Protection Antioxidants Products (Examples) Hydraulic Fluids Metal Working Oil Oil-refreshing System Safety Aspects of Handling Lubricants (Working Materials) Toxicological Terminology and Hazard Indicators Acute Toxicity Subchronic and Chronic Toxicity Poison Categories Corrosive, Caustic Explosion and Flammability Carcinogenic Teratogens, Mutagens MAK (Maximum Workplace Concentration) Values Polycyclic Aromatic Hydrocarbons (PAK, PAH, PCA) Nitrosamines in Cutting Fluids Law on Flammable Fluids Skin Problems Caused by Lubricants Structure and Function of the Skin Skin Damage Oil Acne (Particle Acne) Oil Eczema Testing Skin Compatibility Skin Function Tests Skin Care and Skin Protection
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".