{"id":"W4387664627","doi":"10.7554/elife.88144.3","title":"Ligand bias underlies differential signaling of multiple FGFs via FGFR1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Masarykova Univerzita; Grantová Agentura České Republiky; European Commission; National Institutes of Health; National Science Foundation","keywords":"Fibroblast growth factor receptor 1; Fibroblast growth factor; Fibroblast growth factor receptor; Phosphorylation; FGF8; Receptor tyrosine kinase; Signal transduction; Cell biology; Ligand (biochemistry); Allosteric regulation; Chemistry; FGF9; Receptor; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001997458,0.0003309028,0.0003913402,0.0001575564,0.00005699241,0.00005607492,0.0005293218,0.0005883481,0.00009502988],"category_scores_gemma":[0.0002702971,0.0003009141,0.0002960021,0.00009107351,0.0001632311,0.000001512221,0.002045943,0.0004100151,0.00004439873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156631,"about_ca_system_score_gemma":0.0001715762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003734984,"about_ca_topic_score_gemma":0.0002480035,"domain_scores_codex":[0.9979719,0.0001093219,0.0004335612,0.000695223,0.0003869833,0.0004030301],"domain_scores_gemma":[0.9987389,0.00009551856,0.000177851,0.0007116831,0.0001613929,0.0001145979],"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":[0.0001061348,0.00006354455,0.00751861,0.0004183428,0.0002569166,0.000003598483,0.0000475035,0.000597124,0.9897308,0.0000217239,0.000978636,0.0002570234],"study_design_scores_gemma":[0.0004223457,0.0001778744,0.003771124,0.0001165187,0.00002548863,0.000001895902,0.00006129567,0.0009507452,0.9933389,0.0003996313,0.0004082642,0.0003259566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982812,0.0001747119,0.01565281,0.00008319005,0.0003967495,0.0003858192,0.0001141809,0.0000559194,0.0003246345],"genre_scores_gemma":[0.9952477,0.0001202899,0.000691445,0.00001341357,0.0003091874,0.00003720743,0.0007134938,0.000084992,0.002782262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01496137,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07393347785306974,"score_gpt":0.3079257380498504,"score_spread":0.2339922601967806,"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."}}