{"id":"W4229780309","doi":"10.1515/iupac.79.1444","title":"Hypoxemia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Clinical toxicology; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Linguistics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004529257,0.0004939298,0.0009469033,0.0002861889,0.00007525142,0.00002777781,0.0002605846,0.0006356771,0.01523997],"category_scores_gemma":[0.0004033557,0.0003333965,0.0003098334,0.0001533083,0.0001081389,0.00006307344,0.0001230371,0.0005913564,0.00002428427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003821123,"about_ca_system_score_gemma":0.002029156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002116298,"about_ca_topic_score_gemma":0.00007545556,"domain_scores_codex":[0.9969902,0.00004002071,0.000540595,0.0005752675,0.001328897,0.000525021],"domain_scores_gemma":[0.9975665,0.00004218997,0.0002354552,0.001200846,0.0005010403,0.0004539638],"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":[0.0003556977,0.0001830008,0.00001868013,0.0002393521,0.0001428404,0.000722794,0.000003378776,1.545457e-8,0.0002484957,0.000008744704,0.9889451,0.00913188],"study_design_scores_gemma":[0.002032484,0.0007688932,0.00002675503,0.0006573443,0.0003747705,0.0001337502,0.00001530437,3.653471e-7,0.0004097937,0.000102472,0.995097,0.0003810341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001831846,0.0006826927,0.0001291296,0.00072142,0.001197714,0.0004744384,0.9961958,0.0001100245,0.0003056079],"genre_scores_gemma":[0.000009178842,0.0006181385,0.0001013963,0.001822031,0.00218151,0.00001981116,0.9908138,0.00006559207,0.004368576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01521568,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956470643007089,"score_gpt":0.4163697661133794,"score_spread":0.3968050596833085,"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."}}