{"id":"W2996745632","doi":"10.1039/c9sc04853g","title":"Identifying protons trapped in hematite photoanodes through structure–property analysis","year":2019,"lang":"en","type":"article","venue":"Chemical Science","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Hematite; Raman spectroscopy; Trapping; Chemical physics; Materials science; Chemistry; Mineralogy; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001070366,0.0001439592,0.00009302566,0.0002612997,0.0001345761,0.0002188111,0.000214131,0.0002527047,0.00067604],"category_scores_gemma":[0.0002384708,0.0001507763,0.00009998846,0.0001376843,0.0001720045,0.0001852381,0.00007847013,0.0002417384,0.00009020251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467499,"about_ca_system_score_gemma":0.00009986192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007812376,"about_ca_topic_score_gemma":0.001989229,"domain_scores_codex":[0.9999486,0.000004435592,0.00000202644,0.00001347711,0.00002266055,0.00000884559],"domain_scores_gemma":[0.9998643,0.00004592644,0.00003821635,0.00001068201,0.00003318362,0.000007588129],"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":[0.00003356798,0.000007764621,0.0006073454,0.00001549749,0.000002933344,0.00002429187,0.00001520632,0.0001588582,0.9980062,0.00004242298,0.000008913379,0.001076927],"study_design_scores_gemma":[0.000003029528,0.00004637402,0.003557228,0.00000139245,0.000004659405,0.00003859534,0.00002100336,0.001897512,0.9942603,0.00002065068,0.0001472061,0.000001930851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972531,0.0001359674,0.002011778,0.00002130373,0.000002272094,0.000009995529,0.00009681815,0.00002789998,0.0004408424],"genre_scores_gemma":[0.9964736,0.0001385065,0.002558653,0.00001070116,0.000001258902,0.0000104848,0.0001233588,0.000006833359,0.0006764475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007812376,"threshold_uncertainty_score":0.002261579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982879233403927,"score_gpt":0.2831835144737392,"score_spread":0.2633547221397,"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."}}