{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838711,0.001309453,0.001491649,0.002570663,0.0004175768,0.00169768,0.001700714,0.001299959,0.04199881],"category_scores_gemma":[0.007973155,0.0004227406,0.00270379,0.003626955,0.0002252348,0.001104103,0.001259069,0.001136338,0.02468108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394066,"about_ca_system_score_gemma":0.001884225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375304,"about_ca_topic_score_gemma":0.02818028,"domain_scores_codex":[0.9989435,0.0001916169,0.0002447487,0.0003254584,0.000208149,0.00008654769],"domain_scores_gemma":[0.9969919,0.0009826868,0.0007360311,0.00052695,0.0006133387,0.0001490705],"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":[0.0007796886,0.00006536383,0.01166781,0.01684226,0.0006466824,0.0001092993,0.00004699188,0.0009033164,0.0004467885,0.0009785098,0.9370888,0.03042448],"study_design_scores_gemma":[0.0007571934,0.00009016577,0.04798546,0.005500554,0.0008351852,0.0005526104,0.0000750545,0.0006980423,0.0008915369,0.002274087,0.9402657,0.00007436467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004702016,0.00138094,0.0001156433,0.00007777273,0.00003451032,0.00003435834,0.9962856,0.0001123738,0.001488511],"genre_scores_gemma":[0.002311692,0.001187096,0.0004837868,0.0002328006,0.00002253434,0.0001753752,0.9942068,0.00003816433,0.001341709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04199881,"threshold_uncertainty_score":0.1405,"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."}}