{"id":"W4235089324","doi":"10.1515/iupac.83.0209","title":"Photosorption","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; Philosophy; History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009456208,0.002363221,0.001685212,0.003751375,0.0009678543,0.003022624,0.002531176,0.001545521,0.09394648],"category_scores_gemma":[0.004082069,0.000681136,0.002459654,0.005989212,0.0003280919,0.002056914,0.001888155,0.001691224,0.1615355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383372,"about_ca_system_score_gemma":0.002041104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197107,"about_ca_topic_score_gemma":0.02071645,"domain_scores_codex":[0.9987612,0.0001592789,0.0001733863,0.0004132956,0.0003482444,0.0001446486],"domain_scores_gemma":[0.9985213,0.0003336816,0.0001643796,0.0004160259,0.0004828659,0.00008172901],"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":[0.0002634458,0.00005582616,0.002254924,0.003350965,0.0001136597,0.00003837516,0.00003485665,0.0005882301,0.0006546101,0.0010584,0.9756511,0.0159355],"study_design_scores_gemma":[0.0001856119,0.00003499506,0.005841456,0.0005272327,0.00007481513,0.0001168741,0.00006304983,0.0004575222,0.001096876,0.0019786,0.9895794,0.00004357025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002973411,0.0003919981,0.0002214279,0.00005993999,0.00004252969,0.00003319818,0.9953204,0.0007579948,0.002875241],"genre_scores_gemma":[0.0006961238,0.0003130469,0.0005648102,0.0000835102,0.00001104929,0.0001176154,0.9960912,0.0001356455,0.001986972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09394648,"threshold_uncertainty_score":0.3142823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807919133436671,"score_gpt":0.4128414865769031,"score_spread":0.3947622952425364,"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."}}