{"id":"W4401659329","doi":"10.1016/j.matbio.2024.08.002","title":"Fibronectin isoforms promote postnatal skeletal development","year":2024,"lang":"en","type":"article","venue":"Matrix Biology","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Shriners Hospitals for Children - Canada; Centre Hospitalier Universitaire Sainte-Justine; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fonds de recherche du Québec; Réseau de Recherche en Santé Buccodentaire et Osseuse","keywords":"Cartilage; Gene isoform; Endocrinology; Extracellular matrix; Conditional gene knockout; Chondrogenesis; Internal medicine; Fibronectin; Biology; Knockout mouse; Chondrocyte; Ossification; Cell biology; Ossification center; Anatomy; Phenotype; Medicine; Genetics; 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":[0.0001712948,0.0004150009,0.0002182221,0.0005352186,0.0001707008,0.0002706445,0.0002028007,0.0003709753,0.002373643],"category_scores_gemma":[0.0001960392,0.000242453,0.0002591946,0.0001472538,0.0002382047,0.0001579672,0.0003852081,0.0005064493,0.0006530788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797823,"about_ca_system_score_gemma":0.0002767752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416258,"about_ca_topic_score_gemma":0.002598905,"domain_scores_codex":[0.9998358,0.00001538926,0.00001240178,0.00004121531,0.00005764787,0.00003740909],"domain_scores_gemma":[0.9997051,0.0000314366,0.00009029179,0.00002301912,0.00005169089,0.000098328],"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":[0.0001910858,0.00001339679,0.0009321921,0.0000440875,0.00000378842,0.0002653608,0.00003308697,0.00003096646,0.9930737,0.0001355614,0.00009238278,0.005184424],"study_design_scores_gemma":[0.00005100772,0.0008716193,0.1515337,0.00009255705,0.00006210645,0.003269071,0.0001795749,0.0009121055,0.821336,0.0004054363,0.02126402,0.00002285426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796146,0.004522359,0.005616304,0.0002115834,0.00008005297,0.00006858051,0.00112359,0.0003995899,0.008363203],"genre_scores_gemma":[0.9685269,0.003920789,0.004185795,0.0001472341,0.00004672595,0.00009905448,0.001144383,0.0001485666,0.02178049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002373643,"threshold_uncertainty_score":0.00794059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650625911495646,"score_gpt":0.3448918000463506,"score_spread":0.3283855409313942,"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."}}