{"id":"W2122239015","doi":"10.1242/dmm.008698","title":"Set points, settling points and some alternative models: theoretical options to understand how genes and environments combine to regulate body adiposity","year":2011,"lang":"en","type":"review","venue":"Disease Models & Mechanisms","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":319,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Company of Biologists","keywords":"Set (abstract data type); Energy expenditure; Set point; Energy balance; Balance (ability); Point (geometry); Energy (signal processing); Obesity; Biology; Ecology; Computer science; Neuroscience; Mathematics; Endocrinology; Engineering; Statistics","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"],"consensus_categories":[],"category_scores_codex":[0.0005232527,0.0008495449,0.001862522,0.0003683782,0.0002286805,0.0000940338,0.0002667195,0.0002959251,0.00004797368],"category_scores_gemma":[0.00004818676,0.0007212834,0.0002969474,0.0001522609,0.0001949702,0.0003673997,0.0005432991,0.0003650495,0.00004067253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755341,"about_ca_system_score_gemma":0.0001593657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124811,"about_ca_topic_score_gemma":0.000001205668,"domain_scores_codex":[0.9966155,0.0003018776,0.0005146667,0.001265467,0.0006416879,0.000660817],"domain_scores_gemma":[0.9967231,0.00006465349,0.0001921087,0.0008342697,0.00007130636,0.002114565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002293143,0.0002189019,2.077627e-7,0.001839798,0.0009323129,0.0001762565,0.001071102,0.00004848158,0.00005073819,0.9366754,0.0000627161,0.05869481],"study_design_scores_gemma":[0.001710819,0.0004275368,0.00000576548,0.0064641,0.01345148,0.0001029016,0.0001826307,0.01314011,0.00009129484,0.940891,0.02231373,0.001218639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001609541,0.851716,0.1416711,0.0006931189,0.0001982186,0.002897217,0.001089038,0.00007429082,0.00005144235],"genre_scores_gemma":[0.00902079,0.9809879,0.007500116,0.0008680685,0.0002042766,0.0001977313,0.000434663,0.0001978051,0.0005886159],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.134171,"threshold_uncertainty_score":0.9995238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07314476417997405,"score_gpt":0.3062647044351274,"score_spread":0.2331199402551533,"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."}}