{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004052049,0.0002225152,0.0003044771,0.000167446,0.0001335551,0.0003906121,0.0001901372,0.000356808,0.001174526],"category_scores_gemma":[0.000472765,0.0001757945,0.0001707547,0.0001088907,0.0002607211,0.0002776961,0.0002610994,0.0004088425,0.0003822945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081553,"about_ca_system_score_gemma":0.000124891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003346667,"about_ca_topic_score_gemma":0.0003201826,"domain_scores_codex":[0.9996089,0.00008432663,0.00001890454,0.00007127556,0.0001333838,0.00008323752],"domain_scores_gemma":[0.9997912,0.00008670386,0.00004811427,0.00001958746,0.0000317657,0.00002255679],"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":[0.000028187,0.000002435284,0.0001826003,0.0000121657,0.000001872104,0.00001740171,0.000006689841,0.00007807256,0.9991197,0.00010265,0.000009498973,0.0004386441],"study_design_scores_gemma":[0.000006411722,0.0000668116,0.003076771,0.000003676044,0.000005197984,0.0002023388,0.00002330115,0.001810991,0.9939042,0.0002132648,0.0006807418,0.000006289632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933057,0.0005052277,0.004772472,0.0000743143,0.000007978058,0.00001146182,0.00009617252,0.00003994976,0.001186802],"genre_scores_gemma":[0.9974203,0.0001777122,0.001624701,0.00003988408,0.00000351401,0.00000910327,0.00004923782,0.000009017365,0.0006665369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001174526,"threshold_uncertainty_score":0.003929198,"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."}}