{"id":"W3010580726","doi":"10.1016/j.physbeh.2020.112864","title":"Disentangling ingestive behavior-related phenotypes in Prader–Willi syndrome: Integrating information from nonclinical studies and clinical trials to better understand the pathophysiology of hyperphagia and obesity","year":2020,"lang":"en","type":"review","venue":"Physiology & Behavior","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Obesity; Medicine; Phenotype; Clinical trial; Endocrine system; Bioinformatics; Candidate gene; Animal studies; Gene; Internal medicine; Biology; Genetics; Hormone","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001114362,0.0004596946,0.002575502,0.00008592025,0.0001021451,0.00002399685,0.0002726424,0.000658891,0.000006198384],"category_scores_gemma":[0.001771166,0.0003084554,0.0003667479,0.0001648149,0.0005071036,0.00001447081,0.0007256371,0.0006497312,0.000004963044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003064819,"about_ca_system_score_gemma":0.0001165182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003421177,"about_ca_topic_score_gemma":0.00002047019,"domain_scores_codex":[0.9953629,0.001504157,0.002035283,0.0006909161,0.0001126725,0.0002940772],"domain_scores_gemma":[0.9973772,0.001043225,0.001006353,0.0003646503,0.00009193975,0.000116702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002267098,0.000174773,0.03083676,0.0006403386,0.0006455813,0.000008676934,0.0007771662,0.000001086585,0.002370934,0.000009393672,0.00003249128,0.9644801],"study_design_scores_gemma":[0.003122718,0.003266189,0.9568741,0.005810291,0.009277809,0.0001601282,0.004623289,0.00004370299,0.000139335,0.000468701,0.01452856,0.001685205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6585579,0.3400103,0.00001264117,0.00006941636,0.0002486515,0.001005163,0.00008774081,0.000006734444,0.000001445746],"genre_scores_gemma":[0.2636562,0.7346841,0.0008073463,0.0002086666,0.0001354079,0.0002035942,0.000267791,0.00003410957,0.000002764509],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9627949,"threshold_uncertainty_score":0.9999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003565961491882,"score_gpt":0.4173886692188704,"score_spread":0.3170320730696821,"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."}}