{"id":"W4415041072","doi":"10.1002/cphc.202500039","title":"High‐Throughput Photocatalysis for Generating Reliable Datasets Analyzed by Machine Learning","year":2025,"lang":"en","type":"article","venue":"ChemPhysChem","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photocatalysis; Overfitting; Photodegradation; Analyte; Degradation (telecommunications); Artificial neural network; Reactivity (psychology); Molecular descriptor","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":[0.004618702,0.001733957,0.001210243,0.00275805,0.0009011874,0.001941043,0.00170415,0.001404874,0.002855467],"category_scores_gemma":[0.01419749,0.0005171517,0.001915651,0.002768813,0.0006098851,0.001445861,0.001341283,0.002579173,0.001991261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008572479,"about_ca_system_score_gemma":0.001404636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002049821,"about_ca_topic_score_gemma":0.003096351,"domain_scores_codex":[0.9975455,0.0007112582,0.0002570054,0.0008299692,0.0005335039,0.000122762],"domain_scores_gemma":[0.9946115,0.002623217,0.0004484283,0.001481411,0.0007344677,0.0001009192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001383703,0.001854411,0.0488166,0.002882743,0.001777124,0.0008272339,0.0004611646,0.3483828,0.1000309,0.01634434,0.04600312,0.4312358],"study_design_scores_gemma":[0.00009561314,0.0003873211,0.01716564,0.0000883746,0.0001509264,0.0001750944,0.0001859041,0.8745987,0.05772337,0.02468672,0.02463551,0.0001068181],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0820678,0.0009495345,0.8319785,0.000731645,0.0002897671,0.0008993562,0.06073046,0.02018798,0.002164909],"genre_scores_gemma":[0.2205489,0.0004446634,0.6938246,0.0002475367,0.0001247647,0.003154828,0.07995941,0.0007685428,0.0009268486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004618702,"threshold_uncertainty_score":0.02442634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105817622774871,"score_gpt":0.2799544442923305,"score_spread":0.2693726820148434,"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."}}