{"id":"W2787762273","doi":"10.3791/57026","title":"Mouse Adipose Tissue Collection and Processing for RNA Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Diabetes Canada","keywords":"Adipose tissue; RNA extraction; RNA; White adipose tissue; Complementary DNA; Biology; Gene expression; Real-time polymerase chain reaction; Molecular biology; Cell biology; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000278039,0.0001229231,0.0005063626,0.0004067867,0.0001355297,0.00003536449,0.00005193147,0.00007544289,0.000108387],"category_scores_gemma":[0.00009735637,0.00009756807,0.0001264106,0.0004051604,0.00006769304,0.000181374,0.00001641112,0.00007847307,0.00000354092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000498292,"about_ca_system_score_gemma":0.0000897845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001352401,"about_ca_topic_score_gemma":0.000001905899,"domain_scores_codex":[0.9989657,0.0000349454,0.0004334007,0.0001369278,0.000254658,0.0001743434],"domain_scores_gemma":[0.9988725,0.00002120895,0.0003590822,0.0000989897,0.0004509164,0.0001973443],"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":[0.002133161,0.0004036516,0.00086282,0.00005580216,0.001646795,0.00001959215,0.004237439,6.323503e-7,0.9688466,0.00006106855,0.002382142,0.01935029],"study_design_scores_gemma":[0.005506068,0.00168124,0.001760888,0.00007280352,0.002631322,0.0001253052,0.0004173017,0.0004548805,0.9609219,0.00006623739,0.02623575,0.0001262868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775521,0.005556743,0.01580536,0.0001354651,0.0002161627,0.0003122169,0.000002296253,0.00001668034,0.0004029752],"genre_scores_gemma":[0.9784869,0.0001404983,0.01716804,0.0002621716,0.0006933216,0.00001028409,0.000004254305,0.00002414045,0.003210378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0238536,"threshold_uncertainty_score":0.3978711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738863100615963,"score_gpt":0.4515150202004994,"score_spread":0.4141263891943398,"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."}}