{"id":"W4239128245","doi":"10.1515/iupac.79.1801","title":"Photosensitization of Skin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002975258,0.000214543,0.0005253307,0.0002781102,0.0000385454,0.000008586373,0.00007652084,0.0002476648,0.002349402],"category_scores_gemma":[0.0005183994,0.0001566149,0.0001459291,0.0001952089,0.00008619635,0.00003168204,0.00004596412,0.0002734497,0.000002096348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853546,"about_ca_system_score_gemma":0.0004680173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006397792,"about_ca_topic_score_gemma":0.0000604877,"domain_scores_codex":[0.9983812,0.00004257387,0.0003962469,0.0002688673,0.0007296278,0.0001814855],"domain_scores_gemma":[0.9985564,0.00004224767,0.0002617647,0.000470892,0.00056782,0.0001008417],"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":[0.000238102,0.0001318119,0.000008620652,0.000300613,0.00008404486,0.00004740464,0.000009334014,3.318436e-7,0.0006639444,0.000002085148,0.9930717,0.005442034],"study_design_scores_gemma":[0.001485061,0.0002014108,0.00007629866,0.0013663,0.0001607369,0.00006941149,0.00002145555,0.000006385733,0.004462339,0.00002891152,0.9919652,0.0001564866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004612846,0.0001815324,0.000418056,0.0004968562,0.0004546116,0.0003704024,0.9974467,0.00004517955,0.0001253494],"genre_scores_gemma":[0.0004371641,0.0003163765,0.00006597459,0.000352309,0.0006785023,0.000006153707,0.9976163,0.00002719765,0.0005000125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005285547,"threshold_uncertainty_score":0.9985626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251749119771057,"score_gpt":0.3985449060491583,"score_spread":0.3860274148514478,"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."}}