{"id":"W2559535152","doi":"","title":"Materials Compatibility Issues With Biomass-Derived Oils","year":2015,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Office of Energy Efficiency; UT-Battelle; Battelle; Natural Resources Canada","keywords":"Compatibility (geochemistry); Environmental science; Biochemical engineering; Pulp and paper industry; Waste management; Engineering; Chemical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004237893,0.0001398413,0.0002716072,0.0001260241,0.00006618391,0.00007843177,0.0001473012,0.0000513113,0.00001836277],"category_scores_gemma":[0.00005674592,0.0001076573,0.000022231,0.0002511934,0.0004248475,0.00056115,0.00006940998,0.0000283813,0.00000603519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002478958,"about_ca_system_score_gemma":0.00002975702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003564145,"about_ca_topic_score_gemma":0.0000131511,"domain_scores_codex":[0.9989405,0.00001185702,0.0004261626,0.0001215325,0.0003195372,0.0001804705],"domain_scores_gemma":[0.9993457,0.00002990676,0.0001008772,0.0002222395,0.0001992709,0.0001019591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002950004,0.0003277623,0.0015237,0.00128642,0.0001960523,0.000003610393,0.0001440194,0.01336905,0.9358041,0.03212857,0.01352787,0.001393828],"study_design_scores_gemma":[0.000688381,0.0003007803,0.02438049,0.0001172495,0.00003739622,0.00001350879,0.00003680222,0.0001051503,0.961061,0.0002590225,0.0126753,0.0003248903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857312,0.0001646906,0.004383539,0.00005021985,0.0004140515,0.0001073935,0.0001133518,0.0001886958,0.008846839],"genre_scores_gemma":[0.9944019,0.00002994055,0.005257315,0.000006834569,0.00001275076,0.00001763163,0.0002464806,0.00000585358,0.00002134749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03186955,"threshold_uncertainty_score":0.4390136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598782075028124,"score_gpt":0.2269460188069368,"score_spread":0.2109581980566556,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}