{"id":"W4252604821","doi":"10.1515/iupac.76.0256","title":"Interfacial Layer","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Linguistics; Biology; 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":[0.001283559,0.002140503,0.001422341,0.00443957,0.001059094,0.003780176,0.002741594,0.001885466,0.1227794],"category_scores_gemma":[0.008372353,0.0007549051,0.00184574,0.006688221,0.0004019781,0.003031355,0.002893326,0.002053338,0.1820029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653249,"about_ca_system_score_gemma":0.002973727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721578,"about_ca_topic_score_gemma":0.03331522,"domain_scores_codex":[0.998386,0.0002437417,0.0002796378,0.0005360722,0.0003915367,0.0001629176],"domain_scores_gemma":[0.9968302,0.0009227289,0.0003698241,0.0008284212,0.0008127522,0.000236106],"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":[0.00008145058,0.00002311248,0.000989578,0.00174385,0.0000367459,0.00002508698,0.00004306384,0.0002645513,0.0003008642,0.001092483,0.9879529,0.007446344],"study_design_scores_gemma":[0.00004917823,0.00001064349,0.001758052,0.000496162,0.00002320356,0.0000356062,0.00005473633,0.0002128774,0.0003017921,0.001199749,0.995839,0.00001903011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009411345,0.0001964018,0.0001565996,0.00007567718,0.000033371,0.00001999223,0.997395,0.0005120086,0.001516822],"genre_scores_gemma":[0.0002517674,0.0001590381,0.000451632,0.00008878864,0.000007526298,0.00008180125,0.9978153,0.00009958282,0.00104461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1227794,"threshold_uncertainty_score":0.4107382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812202393810089,"score_gpt":0.4016812134419656,"score_spread":0.3835591895038647,"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."}}