{"id":"W4254286547","doi":"10.1515/iupac.88.0966","title":"Keratin","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607802,0.001569945,0.001269898,0.004753144,0.001101876,0.003707758,0.002589772,0.001999925,0.1831676],"category_scores_gemma":[0.01373592,0.0006409684,0.001603409,0.007356394,0.0004677022,0.003300563,0.002600556,0.001698806,0.2309607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629624,"about_ca_system_score_gemma":0.00325443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560317,"about_ca_topic_score_gemma":0.03166715,"domain_scores_codex":[0.9972782,0.0004468171,0.0005544014,0.0008880054,0.0005560079,0.0002766829],"domain_scores_gemma":[0.9948531,0.001291699,0.0005000024,0.001286989,0.001798973,0.0002692653],"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":[0.00009177357,0.00001735646,0.001259038,0.001374784,0.00002911446,0.00002811955,0.00004265548,0.0001346866,0.000128168,0.001182063,0.9860387,0.00967351],"study_design_scores_gemma":[0.00006793284,0.00001058974,0.001957175,0.0005929894,0.00001876966,0.00005325,0.00009003141,0.0001135433,0.0001588174,0.001204513,0.9957145,0.00001790844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001410258,0.0001737619,0.0001969354,0.0001395979,0.00006401835,0.00004613449,0.995483,0.0004500692,0.003305347],"genre_scores_gemma":[0.0003626398,0.0001683741,0.0005263509,0.0001933579,0.00001485345,0.0001606936,0.9962824,0.0001100497,0.002181381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1831676,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637756376105941,"score_gpt":0.3884424311062843,"score_spread":0.3720648673452249,"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."}}