{"id":"W4411230992","doi":"10.1016/j.fuel.2025.135948","title":"Chemical characterization of microtexture transformation during plastic layer formation via synchrotron macro ATR-FTIR microspectroscopy","year":2025,"lang":"en","type":"article","venue":"Fuel","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"BHP; Australian Coal Industry’s Research Program; Australian Coal Research Limited; Australian Nuclear Science and Technology Organisation","keywords":"Synchrotron; Fourier transform infrared spectroscopy; Characterization (materials science); Materials science; Layer (electronics); Chemical engineering; Chemical imaging; Chemistry; Nanotechnology; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592327,0.0002013942,0.0001183968,0.0003228964,0.0001699178,0.0002407516,0.0001721868,0.0002219799,0.0009593775],"category_scores_gemma":[0.0002161738,0.0001537925,0.0001306058,0.0002016834,0.0002468447,0.0002613383,0.000106494,0.0002788829,0.0001994325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385361,"about_ca_system_score_gemma":0.0001101948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129398,"about_ca_topic_score_gemma":0.001896093,"domain_scores_codex":[0.9998978,0.000008438193,0.000004562721,0.0000234896,0.0000481205,0.00001751293],"domain_scores_gemma":[0.9997872,0.00005774107,0.00005884158,0.00001873331,0.00005795237,0.00001957916],"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":[0.00001804238,0.00000313996,0.0005322005,0.00001166758,9.629243e-7,0.00001609628,0.00002208306,0.00007108939,0.9986777,0.0000116333,0.000003777923,0.0006315575],"study_design_scores_gemma":[0.000001175087,0.00006232223,0.0149775,0.000001629295,0.000004603101,0.0000488061,0.00005350699,0.001252692,0.9832401,0.00001261264,0.0003408767,0.000004216331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935805,0.0001520719,0.005355322,0.00001103135,0.000003409397,0.00001631574,0.0001624222,0.00004775263,0.0006711697],"genre_scores_gemma":[0.9937273,0.0001432147,0.004750673,0.00001115552,0.000002984104,0.00001360841,0.0001716627,0.00001948421,0.001160033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129398,"threshold_uncertainty_score":0.003209412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007809960781823609,"score_gpt":0.2076359712246397,"score_spread":0.1998260104428161,"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."}}