{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005527278,0.0003770808,0.0004914227,0.00008044128,0.000135378,0.00006586776,0.000607241,0.0002656314,0.02786939],"category_scores_gemma":[0.0001852005,0.000271029,0.0002595701,0.0002038913,0.0002167632,0.00009839224,0.0003102205,0.0004062828,0.00008168445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007442185,"about_ca_system_score_gemma":0.00007805064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299837,"about_ca_topic_score_gemma":0.0006105445,"domain_scores_codex":[0.9971675,0.00007474027,0.0003954591,0.0006150572,0.001222365,0.0005248772],"domain_scores_gemma":[0.9986423,0.00006907737,0.0001787513,0.0008832259,0.00002299672,0.0002036268],"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":[0.00002491681,0.0001155144,0.0001013202,0.00002108947,0.00006327744,0.00004454748,0.00001173919,0.000008217605,0.000359674,4.382392e-7,0.9984622,0.000787073],"study_design_scores_gemma":[0.0002132361,0.00009388007,0.0001043209,0.0001430929,0.0001247171,0.000005911577,0.00001213475,0.00000287335,0.001173533,0.0001190748,0.9976055,0.0004017456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002744931,0.00008024507,0.00003092972,0.0005533695,0.0005395265,0.0001023176,0.9957553,0.00006071758,0.0001326425],"genre_scores_gemma":[0.0005575395,0.0003118539,0.00004832241,0.0001104169,0.0009577304,0.00000800903,0.9951437,0.00002742396,0.002835069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02778771,"threshold_uncertainty_score":0.9999742,"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."}}