{"id":"W4236917310","doi":"10.1515/iupac.81.0463","title":"Hypoxic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Environmental science; Biology; Data mining; Linguistics; Philosophy","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":[0.0009222025,0.001639092,0.001219812,0.002491819,0.0008815415,0.002560894,0.002672561,0.001826207,0.07061389],"category_scores_gemma":[0.006239526,0.0004776382,0.001229323,0.004033618,0.0003767697,0.001906714,0.002353859,0.00166039,0.101622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526035,"about_ca_system_score_gemma":0.001914785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170155,"about_ca_topic_score_gemma":0.04205866,"domain_scores_codex":[0.9986971,0.0002518897,0.0001589381,0.0004504009,0.0002676138,0.0001740173],"domain_scores_gemma":[0.9982802,0.0004084525,0.000216324,0.000450705,0.0004521454,0.0001922866],"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":[0.00009881017,0.0000188083,0.001866399,0.0008832568,0.00003043439,0.00004032336,0.0000364385,0.0002598336,0.0001036857,0.0008798586,0.9908206,0.004961452],"study_design_scores_gemma":[0.0001083816,0.00001422198,0.003648722,0.0003924994,0.00002480838,0.0001039973,0.0000784181,0.0002856404,0.0002266008,0.001452391,0.9936433,0.00002103935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002398041,0.0002131272,0.0001071114,0.0001587851,0.00005449901,0.00001301008,0.9969915,0.0003275356,0.001894603],"genre_scores_gemma":[0.0004777984,0.0001085983,0.0002586805,0.0001116756,0.000009584266,0.00003930935,0.9979857,0.00004765808,0.0009609591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07061389,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018476530707403,"score_gpt":0.364142505597275,"score_spread":0.353957740290201,"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."}}