{"id":"W4241282805","doi":"10.1515/iupac.68.0178","title":"Stripping Reaction","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Stripping (fiber); Computer science; Linguistics; Philosophy; Mathematics; Engineering; Mechanical engineering","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":[0.0003844032,0.0005084573,0.0005752103,0.0001155972,0.0001572834,0.000102907,0.0007638084,0.0008582622,0.01435095],"category_scores_gemma":[0.001472033,0.0004348655,0.0002173476,0.000139119,0.0001438593,0.0001107382,0.0003161903,0.001334808,0.000007145996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525827,"about_ca_system_score_gemma":0.0013154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001627055,"about_ca_topic_score_gemma":0.0002355601,"domain_scores_codex":[0.9962902,0.00002948902,0.0005310458,0.0007202693,0.001725342,0.0007036178],"domain_scores_gemma":[0.9972072,0.000126573,0.0003362449,0.001486541,0.0005459833,0.0002974434],"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":[0.00009631737,0.0001340743,0.000005766455,0.0007262141,0.0001464396,0.0001323817,0.000003623211,2.179246e-7,0.01217236,0.000001787275,0.9808871,0.005693736],"study_design_scores_gemma":[0.0007972772,0.00002740356,0.000001373335,0.0007423211,0.00007543949,0.00004709673,0.00002109929,0.000003677797,0.006735158,0.00009957063,0.9909641,0.0004854662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003467026,0.0003236767,0.00001776519,0.0004780001,0.0002748272,0.00008637488,0.9968299,0.0001591882,0.001483591],"genre_scores_gemma":[0.00002688805,0.001195538,0.00002171922,0.0000498633,0.00270451,0.00002003379,0.9889438,0.00006213084,0.006975526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0143438,"threshold_uncertainty_score":0.9998103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170125428817154,"score_gpt":0.4145435972156103,"score_spread":0.3928423429274388,"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."}}