{"id":"W4249973420","doi":"10.1515/iupac.79.1445","title":"Hypoxia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; 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":[0.001272747,0.00188843,0.001476838,0.003020894,0.00098117,0.003280868,0.002647437,0.001830172,0.1528941],"category_scores_gemma":[0.009749942,0.0004925256,0.001886778,0.004729561,0.0003427362,0.002274952,0.001844391,0.001636663,0.1968471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477171,"about_ca_system_score_gemma":0.002508631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620463,"about_ca_topic_score_gemma":0.03028681,"domain_scores_codex":[0.9978864,0.0003404668,0.0003232014,0.0008007562,0.0004180626,0.0002312179],"domain_scores_gemma":[0.9967272,0.0007982581,0.0003214696,0.0008670817,0.00104646,0.0002394849],"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":[0.0001308572,0.00002355962,0.001590402,0.0008033638,0.0000391442,0.00002388298,0.00002022135,0.0001652384,0.000082153,0.0006046472,0.9876438,0.008872651],"study_design_scores_gemma":[0.0001552593,0.00002429253,0.004054011,0.0004951617,0.0000440848,0.00008945192,0.00008491686,0.0002809793,0.0002084752,0.001528683,0.993008,0.0000267371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001910317,0.0001883698,0.0001548008,0.000130818,0.00006841124,0.00003471177,0.996415,0.0003988013,0.002418031],"genre_scores_gemma":[0.0004831733,0.000124961,0.0003808158,0.0001779593,0.00001967052,0.0001241599,0.9968732,0.00007217451,0.001743843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1528941,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00947810342858937,"score_gpt":0.3419567229884755,"score_spread":0.3324786195598861,"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."}}