{"id":"W2118550160","doi":"10.1074/mcp.m110.002113","title":"Dynamics of the Skeletal Muscle Secretome during Myoblast Differentiation","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden; H. Lundbeck A/S; Lundbeckfonden; Sundhed og Sygdom, Det Frie Forskningsråd; Danmarks Grundforskningsfond; National Research Foundation; Medical Research Council; Novo Nordisk","keywords":"Myogenesis; Skeletal muscle; Secretory protein; Stable isotope labeling by amino acids in cell culture; Cell biology; Secretion; C2C12; Biology; Paracrine signalling; Myocyte; Proteomics; Biochemistry; Endocrinology; Receptor; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061934,0.0001853983,0.0001477624,0.00003524279,0.000130532,0.00001341688,0.0003720645,0.0002623762,0.00003250867],"category_scores_gemma":[0.00007133576,0.0001594868,0.0002155844,0.0001066926,0.0002384431,0.000004802409,0.0002458793,0.0002815697,0.000004774603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075866,"about_ca_system_score_gemma":0.00005735438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001449923,"about_ca_topic_score_gemma":0.00006624567,"domain_scores_codex":[0.9989601,0.0000810342,0.0002308744,0.0003276569,0.0001486666,0.0002516257],"domain_scores_gemma":[0.9990422,0.000004117597,0.0001634698,0.0006611717,0.00007187877,0.00005713899],"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":[0.00003008021,0.00006942682,0.0008128542,0.00003981519,0.00003760601,0.000001384587,0.00003357494,0.0002166506,0.9978592,0.0007231661,0.000006167642,0.000170053],"study_design_scores_gemma":[0.0004705679,0.00006318704,0.01542395,0.000007293007,0.00002316948,0.000004102967,0.00004256206,0.001096065,0.9819245,0.0006415376,0.0001184782,0.0001846099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939508,0.00005614199,0.004889641,0.0001507291,0.0002516657,0.0004142897,0.00002241891,0.0000129579,0.000251309],"genre_scores_gemma":[0.9989725,0.000009904385,0.0005122005,0.00005926091,0.00007588205,0.00003446114,0.0001779051,0.00003516933,0.0001227176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01593475,"threshold_uncertainty_score":0.6503683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002192538605560494,"score_gpt":0.1829673613909108,"score_spread":0.1807748227853503,"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."}}