{"id":"W3031076834","doi":"10.1073/pnas.1917906117","title":"In vivo mapping of a GPCR interactome using knockin mice","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Interactome; G protein-coupled receptor; In vivo; Computational biology; Receptor; Proteomics; Biology; Cell biology; Neuroscience; Signal transduction; Gene; Genetics","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":[0.000424638,0.00005236864,0.00009994339,0.00006283639,0.00003267649,0.000006217811,0.0003694472,0.00005641712,0.00002073452],"category_scores_gemma":[0.0002500661,0.0000391477,0.00005115719,0.0003532688,0.0001433056,0.00002054764,0.0001230512,0.00006423714,1.162761e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006842826,"about_ca_system_score_gemma":0.00002290614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006474273,"about_ca_topic_score_gemma":3.233327e-8,"domain_scores_codex":[0.9992183,0.000004252275,0.0002349027,0.0001510777,0.0003121074,0.00007929529],"domain_scores_gemma":[0.9995961,0.00001332795,0.0002565022,0.000003719455,0.0001116217,0.00001875013],"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":[0.00001152744,0.00001009139,0.0009686113,0.00003894188,0.000005657874,2.194548e-9,0.0002220813,0.0001917158,0.9972858,0.001137759,0.00009459867,0.00003314778],"study_design_scores_gemma":[0.00009418016,0.00003859466,0.0004075133,0.00006600865,0.000002295484,0.000001918454,0.0003109952,0.002397508,0.9947528,0.001576226,0.0003094462,0.00004247694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983891,0.000118768,0.00001993004,0.0007627219,0.00001259022,0.00006580671,0.00000569619,0.00000102422,0.0006244021],"genre_scores_gemma":[0.996731,0.00001561805,0.002847026,0.0003198179,0.00006608595,0.000001210946,5.615253e-8,0.000002450159,0.00001669533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002827096,"threshold_uncertainty_score":0.1596397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468121133262315,"score_gpt":0.3073796021713709,"score_spread":0.2526983908387477,"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."}}