{"id":"W4235950578","doi":"10.1515/iupac.87.0215","title":"Edema","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Epistemology; Engineering ethics; Chemistry; Linguistics; Philosophy; Engineering; Organic chemistry; Data mining","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":[0.0003985251,0.0004551372,0.0005598737,0.0001497933,0.0001301765,0.00005876417,0.0005594367,0.0002670511,0.006205813],"category_scores_gemma":[0.0008772724,0.0003239525,0.0001836601,0.0001011277,0.0001629062,0.00008571873,0.000277574,0.000449131,0.00003150433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200424,"about_ca_system_score_gemma":0.0003152718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001422372,"about_ca_topic_score_gemma":0.00007001439,"domain_scores_codex":[0.9976293,0.0001118211,0.0004164595,0.0005810376,0.0008182257,0.0004431511],"domain_scores_gemma":[0.9983168,0.0002169547,0.0003021011,0.0007146876,0.0002950523,0.000154447],"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":[0.0003973284,0.0001379468,0.00001145494,0.0001060315,0.00009436837,0.0005698959,0.00001027319,6.781296e-8,0.00004190547,0.0000132594,0.9948075,0.003809992],"study_design_scores_gemma":[0.0005312216,0.001247078,0.00006465046,0.0007517096,0.00006192779,0.0001095705,0.00001489774,0.000003432687,0.000006705758,0.000261689,0.9964971,0.0004500335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006539578,0.0007099293,0.0000870452,0.0002771959,0.0007254197,0.0001548622,0.9967712,0.0001948113,0.0004255779],"genre_scores_gemma":[0.0002715311,0.000314964,0.0001102571,0.0002073357,0.002508357,0.00001117787,0.9948744,0.00005626386,0.001645726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006174308,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002800682910719,"score_gpt":0.5087738705303121,"score_spread":0.4084938022392401,"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."}}