{"id":"W4409722618","doi":"10.1021/acs.nanolett.5c00529","title":"Photocatalytic Hydrogen Production Using Semiconductor (CdSe)<sub>13</sub> Clusters","year":2025,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Research Foundation of Korea; Korea Institute for Advancement of Technology","keywords":"Photocatalysis; Semiconductor; Hydrogen production; Materials science; Hydrogen; Semiconductor materials; Nanotechnology; Optoelectronics; Chemical engineering; Photochemistry; Chemistry; Catalysis","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":[0.00009216327,0.0001903899,0.00020479,0.0001288545,0.000166171,0.0003131572,0.0001864841,0.0002442917,0.0004187051],"category_scores_gemma":[0.000169069,0.0001431437,0.0001354013,0.0002290778,0.0002435891,0.0002214327,0.0002527028,0.0002299729,0.0001370511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659987,"about_ca_system_score_gemma":0.0002305105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674755,"about_ca_topic_score_gemma":0.002940072,"domain_scores_codex":[0.9999197,0.000006930861,0.000005140048,0.00002387061,0.00002870057,0.00001568553],"domain_scores_gemma":[0.9999529,0.00001289838,0.00001008593,0.000004873387,0.00001103646,0.000008143225],"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":[0.00004508509,0.00001437827,0.0003631529,0.0000528049,0.00000953472,0.00004502665,0.00003016288,0.001239392,0.9947714,0.0004379752,0.0001323488,0.002858778],"study_design_scores_gemma":[0.000004370418,0.00002156047,0.0005532644,0.000001413875,0.000004539292,0.00002106572,0.00001096895,0.00289415,0.9958931,0.00003421822,0.0005587007,0.000002543781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898078,0.0005238209,0.007616457,0.00006935468,0.00001912982,0.00001437488,0.0001231713,0.0001162216,0.001709783],"genre_scores_gemma":[0.9938561,0.0002064176,0.005035522,0.00001378117,0.00000172241,0.000007354219,0.00006211673,0.00001753738,0.0007993343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001674755,"threshold_uncertainty_score":0.0041067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453111824074184,"score_gpt":0.2623338295706111,"score_spread":0.2478027113298693,"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."}}