{"id":"W4381059951","doi":"10.1007/s11708-023-0881-9","title":"Ga(X)N/Si nanoarchitecture: An emerging semiconductor platform for sunlight-powered water splitting toward hydrogen","year":2023,"lang":"en","type":"article","venue":"Frontiers in Energy","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Water splitting; Sunlight; Semiconductor; Hydrogen; Materials science; Nanotechnology; Photocatalysis; Solar energy; Hydrogen fuel; Solar powered; Engineering physics; Optoelectronics; Chemistry; Physics; Electrical engineering; Engineering; Catalysis; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004230851,0.0004485178,0.0006085026,0.0007638907,0.0001818766,0.00004996091,0.0006729507,0.0002949177,0.00006101777],"category_scores_gemma":[0.00007793711,0.000389074,0.000240781,0.0006743826,0.00009751379,0.0004626883,0.0002087794,0.0002324605,0.00001310592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128383,"about_ca_system_score_gemma":0.0000388462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005814966,"about_ca_topic_score_gemma":0.0004812308,"domain_scores_codex":[0.9969751,0.00006795509,0.0006573171,0.0008460184,0.0003143625,0.001139227],"domain_scores_gemma":[0.9987888,0.0000632838,0.0001363375,0.0007626091,0.00006656491,0.0001823563],"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":[0.0005217484,0.0001742837,0.001117175,0.0001654977,0.0004122186,0.00009263427,0.008334714,0.05210275,0.7765653,0.009078358,0.008995981,0.1424394],"study_design_scores_gemma":[0.0005886981,0.00007837117,0.00001547538,0.00003451362,0.00002711114,0.000005022617,0.0006944032,0.01473286,0.753356,0.03814261,0.191797,0.0005279852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428119,0.0004778442,0.0494728,0.0002785345,0.001736491,0.0006400427,0.00005655028,0.002122875,0.002402952],"genre_scores_gemma":[0.9521108,0.0001247347,0.04355627,0.0003212005,0.0004246196,0.0007257194,0.001096562,0.0002340487,0.001406108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.182801,"threshold_uncertainty_score":0.9998561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314330615657852,"score_gpt":0.276793949867943,"score_spread":0.2536506437113645,"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."}}