{"id":"W4399828043","doi":"10.32920/26052775.v1","title":"Electrospinning Asphaltenes With Low-Cost Polymers: Towards High-Value Carbon Materials","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electrospinning; Asphaltene; Polymer; Carbon fibers; Materials science; Polymer science; Value (mathematics); Chemical engineering; Nanotechnology; Business; Composite material; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001728959,0.00038013,0.000132789,0.000404266,0.0001671208,0.0003135833,0.0002168048,0.0003502046,0.000972592],"category_scores_gemma":[0.0001774737,0.0001831682,0.0001941869,0.0003010704,0.0002166481,0.0004625024,0.0002448988,0.0005345757,0.0005127156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643701,"about_ca_system_score_gemma":0.0001892453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004726395,"about_ca_topic_score_gemma":0.001626552,"domain_scores_codex":[0.9998567,0.000009110306,0.000007474947,0.00002818904,0.00007895038,0.00001951397],"domain_scores_gemma":[0.9999279,0.00001374783,0.00002229485,0.000005445767,0.00001494819,0.00001579028],"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":[0.00001424694,0.000033204,0.00005347926,0.0001495207,0.000004906389,0.00007526782,0.00003657547,0.000332145,0.9907688,0.0005043315,0.00007307664,0.007954288],"study_design_scores_gemma":[0.000005386885,0.0001477849,0.0006489166,0.00001471382,0.000006469757,0.000113363,0.00001959164,0.001203464,0.9896691,0.00014177,0.008020988,0.000008327424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265768,0.01577947,0.04116186,0.0003571587,0.0001560052,0.0002456283,0.0001673729,0.0002973183,0.01525846],"genre_scores_gemma":[0.9414174,0.01491092,0.0329075,0.0001420033,0.0000525565,0.00008652353,0.0001739763,0.00007128895,0.01023787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000972592,"threshold_uncertainty_score":0.003253639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00689040459810528,"score_gpt":0.2206849707141992,"score_spread":0.213794566116094,"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."}}