{"id":"W4396888339","doi":"10.1093/pnasnexus/pgae172","title":"Incorporating platinum circular economy into China’s hydrogen pathways toward carbon neutrality","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Science and Technology Project of State Grid; Chinese Academy of Sciences; National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Neutrality; China; Platinum; Carbon neutrality; Hydrogen; Circular economy; Hydrogen economy; Carbon fibers; Economics; Political science; Chemistry; Materials science; Hydrogen production; Catalysis; Greenhouse gas; Ecology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390005,0.000165299,0.0001542507,0.00008477097,0.00005987729,0.0001592936,0.0001000824,0.00009254479,0.00007160854],"category_scores_gemma":[0.00001767944,0.0001742028,0.00006343022,0.0002001317,0.00001986254,0.0003333723,0.00001885072,0.0002386006,0.000102649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009821074,"about_ca_system_score_gemma":0.00005437668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009611388,"about_ca_topic_score_gemma":0.00002516073,"domain_scores_codex":[0.999205,0.00001940957,0.0002800714,0.0002273213,0.00009179995,0.0001763792],"domain_scores_gemma":[0.999681,0.00003032474,0.00002061728,0.0001579163,0.00001962996,0.00009053729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000326988,0.0001516109,0.0035313,0.008771385,0.0008471443,0.000585827,0.04757914,0.4559443,0.3371802,0.1006227,0.006578484,0.03817524],"study_design_scores_gemma":[0.0002992279,0.00005099658,0.0008742696,0.0001003606,0.00005205719,0.00007169105,0.0005460186,0.7337205,0.1039365,0.05947198,0.1001016,0.0007747618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7535841,0.003157415,0.004717408,0.000423798,0.001041547,0.0002244243,0.000009150954,0.001842607,0.2349996],"genre_scores_gemma":[0.999276,0.00001815725,0.0001323656,0.00006452997,0.0002401242,0.00003675327,0.00002928933,0.00003739408,0.00016533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2777762,"threshold_uncertainty_score":0.7103782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025937348729384,"score_gpt":0.2398426097179956,"score_spread":0.2195832362307018,"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."}}