{"id":"W4251193796","doi":"10.1515/iupac.83.0060","title":"Dynamic Photoadsorption Process","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"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; History; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007534067,0.002204496,0.001392218,0.002054794,0.0008194548,0.00241293,0.002372163,0.001471556,0.03052224],"category_scores_gemma":[0.00240404,0.0004969197,0.002589884,0.003373631,0.0002722527,0.001746841,0.001210779,0.001955612,0.05371233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371888,"about_ca_system_score_gemma":0.001931754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660869,"about_ca_topic_score_gemma":0.02771888,"domain_scores_codex":[0.9990125,0.0001135695,0.0001227029,0.0004023248,0.0002332004,0.0001157672],"domain_scores_gemma":[0.9992039,0.0001939171,0.00007082483,0.0002534342,0.0002346666,0.00004327107],"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":[0.0004468511,0.0001952075,0.007691912,0.003394271,0.0002092802,0.00007993686,0.00005532441,0.003819821,0.001749363,0.002011932,0.9558291,0.02451699],"study_design_scores_gemma":[0.0003050912,0.00008796654,0.01259451,0.0003844861,0.0001732006,0.0002039623,0.0001197039,0.006583833,0.004176715,0.004662491,0.9706267,0.00008119932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001140555,0.0003193414,0.0005107243,0.00008818615,0.00005251498,0.00005130718,0.9944916,0.001120765,0.002224982],"genre_scores_gemma":[0.002154719,0.0002537386,0.00127781,0.00007308919,0.000009164077,0.0001692911,0.9943269,0.0000738082,0.001661527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03052224,"threshold_uncertainty_score":0.1021071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412937080490469,"score_gpt":0.3922295239040094,"score_spread":0.3781001530991047,"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."}}