{"id":"W4252739105","doi":"10.1515/iupac.83.0293","title":"Spectral Photonic Yield","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","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","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":[0.0008850654,0.001864325,0.001284088,0.005426246,0.0007409369,0.002938384,0.001930529,0.001060155,0.0622942],"category_scores_gemma":[0.006068648,0.0004815705,0.00181699,0.00802828,0.0002945031,0.002208679,0.001754839,0.001799253,0.09165059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738921,"about_ca_system_score_gemma":0.001501726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01703703,"about_ca_topic_score_gemma":0.02202753,"domain_scores_codex":[0.9985188,0.0001445497,0.0002183948,0.0004851595,0.0004630676,0.0001700388],"domain_scores_gemma":[0.9976587,0.0005111942,0.0003459397,0.0005333187,0.0008461239,0.0001046571],"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":[0.0001758632,0.00004764511,0.004825449,0.00170965,0.00009987887,0.000036644,0.00004783967,0.0007248151,0.0004492051,0.001792903,0.9747955,0.01529463],"study_design_scores_gemma":[0.0001283963,0.00002491693,0.01277696,0.0003979572,0.00004919594,0.0001058256,0.0001109686,0.0005162416,0.0008432019,0.002138568,0.9828672,0.00004053681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003446847,0.0001297335,0.0001004006,0.00003885649,0.00002316141,0.00001180388,0.9974241,0.000254041,0.00167324],"genre_scores_gemma":[0.001013642,0.0001660438,0.0003685235,0.00004814531,0.00001225208,0.00008543932,0.9966329,0.00007911497,0.00159396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0622942,"threshold_uncertainty_score":0.2083949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958927960842759,"score_gpt":0.3647388735262064,"score_spread":0.3451495939177788,"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."}}