{"id":"W4242556835","doi":"10.1515/iupac.87.0043","title":"Anorexia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Psychology; Computer science; Chemistry; Linguistics; Philosophy; 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":[0.0007243128,0.000389594,0.0004978497,0.0002087305,0.0003588116,0.0005054504,0.0006572127,0.0003567247,0.03183387],"category_scores_gemma":[0.0006078752,0.000274157,0.0001710529,0.00003536591,0.0003392385,0.0003247341,0.0001669444,0.0009074417,0.00001296096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001905771,"about_ca_system_score_gemma":0.0004540289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005385011,"about_ca_topic_score_gemma":0.002152286,"domain_scores_codex":[0.9976228,0.00007457654,0.0004656484,0.0004295399,0.0009217746,0.0004856104],"domain_scores_gemma":[0.9983888,0.0001476458,0.0002844546,0.0005362055,0.0004925726,0.0001502989],"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":[0.00002565046,0.00004411944,0.000001844541,0.0001020604,0.00004842275,0.00002116654,0.0003128489,5.93689e-8,2.907281e-7,0.001610017,0.9951134,0.002720087],"study_design_scores_gemma":[0.0003427008,0.00006758898,0.000001091299,0.0005144477,0.00007091986,0.000006524002,0.0003162533,7.468071e-7,5.37506e-7,0.0008997266,0.9973601,0.0004194256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000249918,0.0009285455,0.000007327078,0.001874773,0.00208188,0.0001261969,0.9891565,0.0001605621,0.005639149],"genre_scores_gemma":[0.00002166441,0.0004146957,0.000005996683,0.001000632,0.01469167,0.000008530016,0.9732507,0.00004422244,0.01056192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03182091,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578268764459986,"score_gpt":0.3719830647160741,"score_spread":0.3462003770714743,"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."}}