{"id":"W1992116854","doi":"10.1016/j.ab.2011.04.037","title":"Stabilization of hypoxia-inducible factor-1α in buffer containing cobalt chloride for Western blot analysis","year":2011,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Western blot; Chemistry; Cobalt; Hypoxia (environmental); Buffer (optical fiber); Hypoxia-inducible factors; Protease; Biochemistry; Degradation (telecommunications); Enzyme; Molecular biology; Chromatography; Oxygen; Biology; Inorganic chemistry; Organic chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001229734,0.002491601,0.002072427,0.001475104,0.002108595,0.001028513,0.002554277,0.001221531,0.008190493],"category_scores_gemma":[0.0006638043,0.0009791268,0.001370392,0.003285254,0.0009537176,0.0009595014,0.0005706618,0.005249145,0.00332099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687023,"about_ca_system_score_gemma":0.002230559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007285659,"about_ca_topic_score_gemma":0.01531054,"domain_scores_codex":[0.9983665,0.0001549784,0.0001767922,0.0004773649,0.000340352,0.0004840067],"domain_scores_gemma":[0.9991273,0.0001736146,0.00009157827,0.0001855085,0.0002515295,0.0001704427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004473822,0.000193119,0.0001402862,0.0003093273,0.00004442504,0.00007108735,0.0001192804,0.0000926408,0.995663,0.0006679377,0.0008661811,0.001385326],"study_design_scores_gemma":[0.0001229305,0.0001871325,0.002299276,0.00004549419,0.00007759966,0.0001905226,0.00005509282,0.001117623,0.9775646,0.0002451712,0.01807023,0.00002425068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5879339,0.01403549,0.3307868,0.005618247,0.004932975,0.003186873,0.0194733,0.008632051,0.02540033],"genre_scores_gemma":[0.5150341,0.0156884,0.2696689,0.002192988,0.001091882,0.007084134,0.09660696,0.002163274,0.09046923],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008190493,"threshold_uncertainty_score":0.0273999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628498556866845,"score_gpt":0.2860228391412943,"score_spread":0.2497378535726259,"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."}}