{"id":"W1968835093","doi":"10.1016/j.febslet.2010.04.074","title":"Transforming growth factor‐β inhibits nephronectin‐induced osteoblast differentiation","year":2010,"lang":"en","type":"article","venue":"FEBS Letters","topic":"TGF-β signaling in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; York University; University of Toronto; Sunnybrook Health Science Centre","funders":"China Scholarship Council; Heart and Stroke Foundation of Canada","keywords":"Osteoblast; Transforming growth factor beta; Cellular differentiation; Cell biology; TGF beta signaling pathway; Transforming growth factor; Transforming growth factor, beta 3; Chemistry; BETA (programming language); Transfection; Cell growth; Biology; Endocrinology; Molecular biology; Growth factor; Gene; Biochemistry; In vitro; TGF alpha; Receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001238279,0.0002503762,0.0002545905,0.0002009404,0.00008342036,0.0002317019,0.00009366306,0.000134418,0.001024464],"category_scores_gemma":[0.0001201001,0.0001251047,0.0001709156,0.0001296504,0.0001548514,0.00007431985,0.0001300828,0.0004782202,0.000335204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775974,"about_ca_system_score_gemma":0.0002432612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006536857,"about_ca_topic_score_gemma":0.001178919,"domain_scores_codex":[0.9998796,0.00002219086,0.00001135379,0.00001171845,0.00004693242,0.0000281607],"domain_scores_gemma":[0.9999111,0.00002608498,0.00001807426,0.000009459795,0.00001196566,0.0000232878],"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":[0.00006305412,0.00001966358,0.0001015452,0.00001564857,0.000002089295,0.00001765822,0.000006518474,0.00001763328,0.9988393,0.00002035015,0.00002488027,0.0008714959],"study_design_scores_gemma":[0.00002339135,0.0003034991,0.004175539,0.000004698771,0.000008798308,0.0001337719,0.00002226438,0.0006630312,0.992341,0.00003265404,0.002288671,0.000002672494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931582,0.002184048,0.001561988,0.000156198,0.00004688645,0.00002396377,0.0002955006,0.00007075707,0.002502533],"genre_scores_gemma":[0.9911908,0.001802912,0.002084586,0.0001451479,0.00001683921,0.00004345431,0.000810976,0.00002752752,0.003877712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001024464,"threshold_uncertainty_score":0.003427148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008015158949105428,"score_gpt":0.2206159433077893,"score_spread":0.2126007843586839,"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."}}