{"id":"W4376224256","doi":"10.1002/advs.202207314","title":"Floating Carbon Nitride Composites for Practical Solar Reforming of Pre‐Treated Wastes to Hydrogen Gas","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; UK Research and Innovation","keywords":"Materials science; Phosphide; Hydrogen production; Hydrogen; Carbon fibers; Biomass (ecology); Carbon nitride; Catalysis; Chemical engineering; Waste management; Photocatalysis; Composite material; Composite number; Nickel; Metallurgy; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006952841,0.000193379,0.0003137523,0.0003755991,0.0002764957,0.00002522377,0.0004969491,0.00005231382,0.000003011734],"category_scores_gemma":[0.001678105,0.0001793412,0.00007454377,0.002528594,0.0002569545,0.0006492283,0.0002599956,0.0001171246,0.00001000127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548732,"about_ca_system_score_gemma":0.0001114276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002923433,"about_ca_topic_score_gemma":0.0001317554,"domain_scores_codex":[0.9978586,0.00002795775,0.0004374445,0.000583428,0.0004738747,0.000618635],"domain_scores_gemma":[0.998217,0.0005174547,0.0002168186,0.0005796392,0.0003053866,0.0001636772],"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":[0.00008171311,0.00002367397,0.000417758,0.0000253811,0.000008580194,0.000004085656,0.0003184766,0.01844145,0.969759,0.001004276,0.000005005635,0.009910543],"study_design_scores_gemma":[0.0001947853,0.0001838008,0.0001051914,0.00009200942,0.00001753833,0.000005946607,0.0002481969,0.02948361,0.9644771,0.0042419,0.000744191,0.0002056759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914426,0.00002966543,0.005714403,0.0001174315,0.00004938184,0.0007393396,0.00001250212,0.000515889,0.001378838],"genre_scores_gemma":[0.8589822,0.00001289341,0.1405997,0.00004619815,0.000025064,0.0001593907,0.00001805355,0.00003189859,0.0001245353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348853,"threshold_uncertainty_score":0.7313322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111838609540363,"score_gpt":0.3382868047031942,"score_spread":0.3171684186077906,"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."}}