{"id":"W4252370585","doi":"10.1515/iupac.83.0158","title":"Photocatalyst","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Photocatalysis; Glossary; 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":[0.001057525,0.0007352673,0.001210578,0.000311113,0.0002050686,0.0001650798,0.001458431,0.0005246216,0.02970655],"category_scores_gemma":[0.000917439,0.0005414989,0.000262207,0.0002872174,0.0004249241,0.0002925388,0.0006281855,0.0002625523,0.0001319446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007458332,"about_ca_system_score_gemma":0.0007375132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001218278,"about_ca_topic_score_gemma":0.0003067302,"domain_scores_codex":[0.9952934,0.0001494459,0.0009594007,0.001144103,0.001649384,0.0008042316],"domain_scores_gemma":[0.9960226,0.0001894957,0.0007234501,0.002297183,0.0005134859,0.0002538205],"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":[0.0001681891,0.0001279618,4.904027e-7,0.0001477758,0.00004114995,0.00009449748,0.000005590652,0.00000227578,0.04962011,0.000003081165,0.9491565,0.000632368],"study_design_scores_gemma":[0.0006308935,0.0001047521,0.000001034811,0.0003154318,0.0001740844,0.00003139309,0.000009084694,4.960153e-7,0.07597337,0.0002416522,0.9218469,0.0006709645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008215228,0.0005182005,0.0004369572,0.000145223,0.003031928,0.0004812262,0.9943069,0.0002214549,0.00003658961],"genre_scores_gemma":[0.00004060415,0.0005085614,0.000377506,0.000208163,0.001660379,0.00008304908,0.9965484,0.00008467575,0.0004887011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0295746,"threshold_uncertainty_score":0.9997036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301641084280855,"score_gpt":0.3939172041647514,"score_spread":0.3809007933219429,"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."}}