{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004210572,0.0004380909,0.0004956955,0.0001384026,0.0000320477,0.00002096858,0.0005517866,0.0006010957,0.0009373304],"category_scores_gemma":[0.0004135561,0.0003425535,0.0001101836,0.000154625,0.0001428637,0.00006637574,0.0001308136,0.0006263727,0.000007375957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005358338,"about_ca_system_score_gemma":0.00002136477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004127436,"about_ca_topic_score_gemma":0.00004301054,"domain_scores_codex":[0.9983677,0.000007118094,0.0003239197,0.0003181164,0.000513425,0.0004697365],"domain_scores_gemma":[0.9987907,0.0000767832,0.00006152551,0.0008663018,0.0001100949,0.00009453096],"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":[0.000009373861,0.00001740321,2.267317e-7,0.0001148596,0.00005354282,0.00003925256,7.220141e-7,0.00005066815,0.001670876,0.000004203013,0.990594,0.007444825],"study_design_scores_gemma":[0.0002743223,0.00003018893,0.000001111866,0.0001821736,0.00003249689,0.000009635371,0.00000489976,0.00001198307,0.005707739,0.000779613,0.9925072,0.0004586245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001934184,0.001242926,0.0004243412,0.0001243482,0.0005504399,0.0001278963,0.9957631,0.001487226,0.00008636099],"genre_scores_gemma":[0.00005277099,0.002633216,0.0002158203,0.00003955424,0.0004262344,0.00001294657,0.9964273,0.00007490203,0.0001172699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0069862,"threshold_uncertainty_score":0.9999759,"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."}}