{"id":"W4377236037","doi":"10.1007/978-981-99-0393-1_10","title":"Contemplation of Photocatalysis Through Machine Learning","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Photocatalysis; Computer science; Relation (database); Artificial intelligence; Contemplation; Informatics; Identification (biology); Engineering; Chemistry; Data mining","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":[0.0005802877,0.0004455065,0.000338655,0.0004286728,0.0004745217,0.001708028,0.001021493,0.001401994,0.01101615],"category_scores_gemma":[0.0009179557,0.0002813559,0.0003175482,0.0003687332,0.002819301,0.003650785,0.0009855006,0.003134775,0.003693644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009535854,"about_ca_system_score_gemma":0.0006291757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005540015,"about_ca_topic_score_gemma":0.001456245,"domain_scores_codex":[0.9997132,0.0000624622,0.000006923875,0.00005744703,0.0001438014,0.00001602648],"domain_scores_gemma":[0.9995828,0.0002809404,0.00001425723,0.00007525554,0.00003411017,0.00001259932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001017679,0.00003755561,0.00002983341,0.0001758348,0.000008660706,0.00003399124,0.0001574473,0.001966096,0.002026557,0.8897766,0.02226482,0.08351244],"study_design_scores_gemma":[0.000005178859,0.00002098489,0.0000567816,0.0001451861,0.000004535487,0.00009590082,0.00004995046,0.005055194,0.00581394,0.643039,0.3456995,0.0000137867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003504547,0.03272877,0.1343929,0.009600102,0.001973804,0.000044572,0.0000894867,0.000372432,0.8172934],"genre_scores_gemma":[0.1428715,0.05250529,0.09400046,0.004422235,0.001728711,0.0001216286,0.0001671634,0.0004372889,0.7037457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101615,"threshold_uncertainty_score":0.03685272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791257241349365,"score_gpt":0.2710006782644581,"score_spread":0.2330881058509645,"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."}}