{"id":"W4413770754","doi":"10.1002/eom2.70026","title":"Eco‐Friendly Quantum Dots for Solar‐Driven <scp>H<sub>2</sub></scp> Production: Structural Engineering to Performance Optimization","year":2025,"lang":"en","type":"article","venue":"EcoMat","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Dalhousie University; Canada Foundation for Innovation","keywords":"Quantum dot; Production (economics); Environmentally friendly; Quantum; Materials science; Nanotechnology; Computer science; Physics; Quantum mechanics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001214797,0.0002570469,0.0002740282,0.0002707492,0.0001985964,0.00006015286,0.0002743472,0.0001095992,0.000006460086],"category_scores_gemma":[0.0002878717,0.0002738415,0.00009562595,0.0005126336,0.00002102171,0.0004738073,0.0001078202,0.0001389903,0.00002458215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723902,"about_ca_system_score_gemma":0.00003380311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006090014,"about_ca_topic_score_gemma":0.00002503909,"domain_scores_codex":[0.9986227,0.00001675784,0.0003544037,0.0004674339,0.0001428718,0.000395872],"domain_scores_gemma":[0.9991077,0.00007845701,0.0001021051,0.0004920664,0.0001409223,0.00007871581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001444139,0.00001668894,0.0002492896,0.0001296991,0.0000493202,8.422184e-7,0.0001530774,0.9147765,0.0765714,0.0018014,0.0020116,0.004225756],"study_design_scores_gemma":[0.0001654792,0.00006666072,0.0005634438,0.00006542028,0.00002506563,0.000006102779,0.00002479206,0.2893754,0.7028733,0.0005366179,0.006181312,0.0001163941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593846,0.00005149603,0.137224,0.0001238692,0.0008345876,0.0009246751,0.00001104778,0.0007897202,0.0006560595],"genre_scores_gemma":[0.9325827,0.00003108514,0.06600014,0.00008203754,0.0002122527,0.0005435739,0.0001142543,0.00006078079,0.0003731275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6263019,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005800463370450724,"score_gpt":0.2323915286047764,"score_spread":0.2265910652343257,"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."}}