{"id":"W4254508345","doi":"10.1515/iupac.87.0381","title":"Misfolded Protein","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; Chemistry; Linguistics; Philosophy; Data mining; 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":[0.001392368,0.002079217,0.001648426,0.004702881,0.001221635,0.002997309,0.002531423,0.002238837,0.03352031],"category_scores_gemma":[0.007185048,0.0006795634,0.001817531,0.007201826,0.0005574466,0.001998089,0.002390396,0.002349948,0.05482599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723145,"about_ca_system_score_gemma":0.002490752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268641,"about_ca_topic_score_gemma":0.02497038,"domain_scores_codex":[0.9982371,0.0002055199,0.0003847662,0.0005588342,0.0004136244,0.0002001561],"domain_scores_gemma":[0.9965479,0.0008613933,0.000693561,0.0009041162,0.0007697181,0.000223404],"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":[0.0002441904,0.00002657079,0.003526251,0.003395518,0.00007993432,0.00008485366,0.00004722165,0.0003817317,0.0003732614,0.0008089758,0.9830835,0.007948056],"study_design_scores_gemma":[0.0002014032,0.00003666321,0.01274114,0.001271473,0.00008088435,0.0003285578,0.00007693303,0.0004794168,0.0006419204,0.001976774,0.9821192,0.00004574871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002955732,0.0005138933,0.0001205211,0.0001078756,0.00005674951,0.00001774776,0.997704,0.0003294305,0.0008542663],"genre_scores_gemma":[0.0006104785,0.0002816122,0.0004309172,0.0001122332,0.000009173802,0.00005644363,0.9978362,0.00005175466,0.0006110831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03352031,"threshold_uncertainty_score":0.1121366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09444204606547285,"score_gpt":0.4950878435675373,"score_spread":0.4006457975020644,"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."}}