{"id":"W4386568647","doi":"10.1021/acs.energyfuels.3c00812","title":"Electrospun Green Fibers from Alberta Oilsands Asphaltenes","year":2023,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Alberta Innovates","keywords":"Asphaltene; Raw material; Materials science; Asphalt; Fiber; Scanning electron microscope; Thermogravimetric analysis; Chemical engineering; Pulp and paper industry; Composite material; Organic chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001402134,0.0005420269,0.0001085637,0.000729103,0.0002921687,0.0002618828,0.0001801583,0.0002472805,0.00234112],"category_scores_gemma":[0.00009697501,0.0001910019,0.0001435124,0.0003742331,0.0002503416,0.0002901454,0.0002127135,0.0004157509,0.000549952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270792,"about_ca_system_score_gemma":0.0002962337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005719816,"about_ca_topic_score_gemma":0.02657039,"domain_scores_codex":[0.9999046,0.000001657709,0.00000323053,0.00002502094,0.00004769688,0.00001778194],"domain_scores_gemma":[0.9999255,0.00001056899,0.00001390649,0.000005040386,0.00002863596,0.00001632182],"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":[0.00001404053,0.000005650447,0.00007883031,0.00001954647,0.000001302966,0.0000487925,0.00001745482,0.00007863944,0.9980095,0.00006522797,0.00006205912,0.001598995],"study_design_scores_gemma":[0.000005120544,0.00005243902,0.004937005,0.00000961603,0.000005615093,0.00005940079,0.00003739383,0.0006448455,0.9909254,0.00005195556,0.003264121,0.000006999367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782574,0.0008687936,0.007680176,0.00005878582,0.00006774355,0.00007298494,0.001070065,0.0003740068,0.01155003],"genre_scores_gemma":[0.948767,0.001613981,0.0234134,0.00009255521,0.00001723064,0.0001029736,0.00185107,0.0002551895,0.02388664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9942802,"threshold_uncertainty_score":0.01137304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009172464410016274,"score_gpt":0.2386621399084758,"score_spread":0.2294896754984595,"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."}}