{"id":"W2971818215","doi":"10.1016/j.celrep.2019.07.102","title":"Metastatic Tumor Cells Exploit Their Adhesion Repertoire to Counteract Shear Forces during Intravascular Arrest","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National Du Cancer; Ligue Contre le Cancer; Université de Strasbourg; Centre National de la Recherche Scientifique; CNIB; European Commission; Association pour la Recherche sur le Cancer; Institut National de la Santé et de la Recherche Médicale; Massachusetts Institute of Technology","keywords":"Extravasation; Adhesion; Integrin; Circulating tumor cell; Cell adhesion molecule; Cell adhesion; CD44; Metastasis; Cell biology; Fibronectin; Receptor; Chemistry; Cancer research; Biology; Immunology; Medicine; Cancer; Cell; Extracellular matrix; Internal medicine","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":[0.00005192745,0.0001598471,0.0001711652,0.0001680636,0.0001420444,0.0003372922,0.0001115072,0.0001588851,0.0009037727],"category_scores_gemma":[0.0001018852,0.00008310704,0.0001159591,0.0001193546,0.0001036201,0.0001963956,0.0001977071,0.0002349749,0.0003153223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654424,"about_ca_system_score_gemma":0.0001216303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004837068,"about_ca_topic_score_gemma":0.0005674874,"domain_scores_codex":[0.9999427,0.000006867383,0.000002019148,0.000009426341,0.00001529085,0.00002370776],"domain_scores_gemma":[0.9999577,0.000005111422,0.00001027494,0.000003812524,0.000008328127,0.00001481278],"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":[0.00002269506,0.000004950407,0.0003980823,0.000007015926,0.000001120186,0.00003915753,0.00001505238,0.00004956106,0.9980116,0.0001591741,0.00002181537,0.001269751],"study_design_scores_gemma":[0.00001302742,0.0003047078,0.02602267,0.000008339081,0.00001872322,0.0006435913,0.00009786763,0.003329491,0.9653504,0.0002415587,0.003959912,0.000009767373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940192,0.0007795614,0.003699974,0.0000439116,0.000005862299,0.00001509742,0.00005380289,0.00004114104,0.00134162],"genre_scores_gemma":[0.9976811,0.0002626009,0.001062394,0.00002204451,0.000003880493,0.00001058438,0.00007012671,0.000007348188,0.0008798624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009037727,"threshold_uncertainty_score":0.003023446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006749835253534649,"score_gpt":0.2150056993252641,"score_spread":0.2082558640717295,"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."}}