{"id":"W2063314981","doi":"10.1158/0008-5472.can-09-0454","title":"Targeting Focal Adhesion Kinase with Dominant-Negative FRNK or Hsp90 Inhibitor 17-DMAG Suppresses Tumor Growth and Metastasis of SiHa Cervical Xenografts","year":2009,"lang":"en","type":"article","venue":"Cancer Research","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Focal adhesion; Cancer research; Metastasis; Signal transduction; Kinase; Biology; Pathology; Medicine; Cell biology; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008903011,0.0002382266,0.0003504379,0.000212954,0.0002514593,0.00006423117,0.0003681236,0.0001575564,0.0001518538],"category_scores_gemma":[0.0009591646,0.0001686491,0.00006286654,0.0005769014,0.0005657662,0.00002141552,0.0003011093,0.0004911025,0.000003830216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005939611,"about_ca_system_score_gemma":0.0006652492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004753223,"about_ca_topic_score_gemma":0.0001862244,"domain_scores_codex":[0.9967641,0.0005103496,0.0003185366,0.000696991,0.0008767481,0.0008333296],"domain_scores_gemma":[0.9982958,0.000181139,0.00006476601,0.0003915481,0.0007180098,0.000348725],"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":[0.003555378,0.0001659261,0.0009344929,0.0002189015,0.0000594945,0.0001038781,0.0001756293,0.00001009214,0.98849,0.00002191871,0.002389431,0.003874829],"study_design_scores_gemma":[0.001346556,0.003580379,0.001189466,0.0001474854,0.00001530966,0.00001571383,0.0004213398,0.00002879987,0.9911687,0.00006130371,0.0018059,0.0002190971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955622,0.002146282,0.0001838861,0.0008496426,0.00002692231,0.0008707375,0.0001012082,0.000009351679,0.0002497492],"genre_scores_gemma":[0.9968433,0.0007188501,0.001490146,0.00006791415,0.0003530576,0.0002075534,0.00002988197,0.00003869083,0.000250625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003655731,"threshold_uncertainty_score":0.6877309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451185750868568,"score_gpt":0.3592810259299558,"score_spread":0.3247691684212701,"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."}}