{"id":"W4238141284","doi":"10.1515/iupac.83.0176","title":"Photoelectrocatalysis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Photocatalysis; Chemical nomenclature; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; Philosophy; History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005882817,0.0003979427,0.0005614858,0.0001155258,0.0001584088,0.00006496874,0.0006594376,0.0002565485,0.01675379],"category_scores_gemma":[0.0001661671,0.0002833432,0.0003000629,0.0003666139,0.0001999912,0.0001066822,0.0003434005,0.0003328231,0.00007886464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007851978,"about_ca_system_score_gemma":0.00007479084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023149,"about_ca_topic_score_gemma":0.0004144832,"domain_scores_codex":[0.996886,0.0001093274,0.0004223306,0.0006700003,0.001397301,0.0005150763],"domain_scores_gemma":[0.9984956,0.00005104932,0.0002154283,0.0009999394,0.00003839771,0.0001995699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002269899,0.0001188489,0.00004785328,0.00002068981,0.0001199103,0.00002433209,0.000009184542,0.000005070824,0.0003823328,1.627514e-7,0.9969668,0.002282099],"study_design_scores_gemma":[0.0002330206,0.00007141849,0.00002878183,0.00006633963,0.000256161,0.000004275624,0.000008302719,0.000003038018,0.001230124,0.00008996108,0.9975984,0.0004102019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007314482,0.00009226552,0.00009520664,0.0003736116,0.0002434531,0.00008851377,0.9982532,0.00006417232,0.00005811125],"genre_scores_gemma":[0.00019538,0.000303603,0.00003535959,0.00009397903,0.0006118671,0.00001270826,0.9965929,0.0000274466,0.002126694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01667492,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185020552028272,"score_gpt":0.3667457234457266,"score_spread":0.3548955179254439,"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."}}