{"id":"W4242562257","doi":"10.1515/iupac.87.0424","title":"Neural Network","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","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; Chemistry; Linguistics; Data mining; Philosophy; 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":[0.00130035,0.00301002,0.001442405,0.003130156,0.0008998977,0.002995998,0.004445279,0.002801869,0.05710433],"category_scores_gemma":[0.00917686,0.0007131025,0.002629996,0.004431587,0.0004038019,0.002654594,0.001748361,0.002731576,0.09424581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851286,"about_ca_system_score_gemma":0.002271676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02394985,"about_ca_topic_score_gemma":0.04030481,"domain_scores_codex":[0.998578,0.0002398584,0.0001670628,0.0005540551,0.0002841419,0.0001769209],"domain_scores_gemma":[0.998239,0.0005669954,0.00009500295,0.0005099882,0.0004992746,0.00008974425],"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":[0.0002567866,0.0001174895,0.002258074,0.001204884,0.000176693,0.00008331636,0.00002759014,0.01025418,0.0001873433,0.001454699,0.9064976,0.0774814],"study_design_scores_gemma":[0.0004788893,0.0001902063,0.004676183,0.0009045501,0.0001672508,0.0003199842,0.0001872842,0.09176014,0.0020869,0.02070761,0.8784006,0.0001203924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002989802,0.002093622,0.007225422,0.001103163,0.0008451242,0.0002849742,0.9605018,0.01421746,0.01073856],"genre_scores_gemma":[0.0058428,0.0008259132,0.01036091,0.0003339197,0.00006391528,0.0004081642,0.9762513,0.0003399601,0.005573198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05710433,"threshold_uncertainty_score":0.191033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153556094786052,"score_gpt":0.3606607437761756,"score_spread":0.3491251828283151,"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."}}