{"id":"W4238175554","doi":"10.1515/iupac.83.0076","title":"Extinctance","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced oxidation water treatment","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001850332,0.0003929393,0.0003478709,0.00004770025,0.0001085383,0.00002687669,0.0004588631,0.0001855746,0.05135516],"category_scores_gemma":[0.0001198441,0.0002749478,0.0000954538,0.0001383318,0.0002236141,0.0001801013,0.0003529028,0.0002029092,0.0001562224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436516,"about_ca_system_score_gemma":0.00006534909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008304272,"about_ca_topic_score_gemma":0.0007464969,"domain_scores_codex":[0.9975059,0.00005064541,0.0003417138,0.0006324992,0.001058421,0.000410788],"domain_scores_gemma":[0.9986243,0.00004512804,0.0002320764,0.000899416,0.00003284283,0.0001662352],"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":[0.00003841739,0.000133063,0.00006883955,0.00001061312,0.00002109048,0.00005099622,0.000005866649,0.00002015296,0.00003821121,0.000001175038,0.9922291,0.007382451],"study_design_scores_gemma":[0.0005732669,0.00009015037,0.0001651869,0.00007385398,0.00003746141,0.000009878572,0.000003687761,0.00000199426,0.0001185866,0.0003373876,0.9982424,0.0003460893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001607662,0.00008822579,0.0008339622,0.0004635148,0.0003638038,0.0002844827,0.9974659,0.0000690462,0.0002702858],"genre_scores_gemma":[0.00001945069,0.0003354106,0.0005885083,0.0002963124,0.0002397752,0.00003155208,0.9961094,0.00003193149,0.002347643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05119894,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009313771815980422,"score_gpt":0.3680992740671994,"score_spread":0.358785502251219,"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."}}