{"id":"W4401034084","doi":"10.1016/j.carbon.2024.119488","title":"Carbon science perspective in 2024: Current research and future challenges","year":2024,"lang":"en","type":"article","venue":"Carbon","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Vermont Agency of Natural Resources; H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Australian Research Council; Horizon 2020 Framework Programme; Agence Nationale de la Recherche; National Science Foundation","keywords":"Current (fluid); Perspective (graphical); Carbon fibers; Engineering ethics; Engineering physics; Nanotechnology; Management science; Engineering; Materials science; Computer science; Electrical engineering; Artificial intelligence; Composite material","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":[0.004875737,0.0009826523,0.001070907,0.001672023,0.002074968,0.006160257,0.001691219,0.01323952,0.03884276],"category_scores_gemma":[0.005404777,0.0002810029,0.0008796934,0.002574268,0.003725198,0.01069869,0.003381531,0.008979749,0.007677814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004737304,"about_ca_system_score_gemma":0.01579328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006926296,"about_ca_topic_score_gemma":0.01292687,"domain_scores_codex":[0.9980224,0.0003959104,0.0001096648,0.0001932373,0.0007446833,0.0005340498],"domain_scores_gemma":[0.9960778,0.001148006,0.0001918006,0.000161306,0.001482004,0.000939109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002689663,0.0001342095,0.0004602009,0.002215752,0.00003908343,0.0002693271,0.000171096,0.0003840204,0.001666107,0.2473745,0.5724314,0.1745853],"study_design_scores_gemma":[0.00001034313,0.00006160157,0.0003264234,0.0008169827,0.00001121762,0.0001196423,0.0003254538,0.00009093892,0.0004056976,0.04636005,0.9514545,0.00001721602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001696152,0.4233636,0.001115823,0.4408539,0.0647531,0.00002218958,0.0008355525,0.0001152072,0.06724451],"genre_scores_gemma":[0.04715613,0.5988719,0.003852021,0.2353462,0.04915436,0.00007548885,0.001259218,0.0002149688,0.06406976],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03884276,"threshold_uncertainty_score":0.129942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403356514526359,"score_gpt":0.3622598924018084,"score_spread":0.3082263272565449,"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."}}