{"id":"W3198938625","doi":"10.1016/j.celrep.2021.109689","title":"Optimizing metastatic-cascade-dependent Rac1 targeting in breast cancer: Guidance using optical window intravital FRET imaging","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Beatson Institute for Cancer Research; Biotechnology and Biological Sciences Research Council; Servier; Novartis; Cancer Institute NSW; Garvan Institute of Medical Research; National Health and Medical Research Council; Cancer Research UK; Australian Cancer Research Foundation; St. Vincent's Clinic Foundation; National Breast Cancer Foundation; Francis Crick Institute; Engineering and Physical Sciences Research Council","keywords":"RAC1; In vivo; Förster resonance energy transfer; Intravital microscopy; Fluorescence-lifetime imaging microscopy; Cancer research; Breast cancer; Metastatic breast cancer; Medicine; Pathology; Cancer; Biology; Internal medicine; Cell biology; Fluorescence; Signal transduction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124421,0.0003476569,0.0003318359,0.0001966767,0.0002141702,0.0004611054,0.0003742989,0.0004987129,0.0007300715],"category_scores_gemma":[0.0002330005,0.0001781196,0.0002024251,0.0001138184,0.0002769209,0.0004130524,0.0002541312,0.000638264,0.0002306714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006326027,"about_ca_system_score_gemma":0.0003783034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394499,"about_ca_topic_score_gemma":0.002746489,"domain_scores_codex":[0.9998654,0.00001889016,0.000006322278,0.00004113363,0.00003275483,0.00003548813],"domain_scores_gemma":[0.9998798,0.00003389959,0.00004326868,0.00001035034,0.00001633568,0.00001629621],"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":[0.00001495027,0.00001365953,0.0000836738,0.00001414804,0.000001528497,0.00001480418,0.00001236981,0.0002825109,0.9983596,0.0001263602,0.00003209015,0.001044177],"study_design_scores_gemma":[0.000002712111,0.00004404914,0.0004521705,0.000002070738,0.000003488133,0.0000461864,0.00001307873,0.004303493,0.9945913,0.00003553684,0.0005015557,0.000004449501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958719,0.0008854232,0.0379649,0.0003099665,0.00001952892,0.00005186688,0.0001737368,0.0003469725,0.00152863],"genre_scores_gemma":[0.964967,0.001024583,0.03125584,0.00008192808,0.000007525277,0.00007151444,0.0001057531,0.00008429281,0.002401615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394499,"threshold_uncertainty_score":0.004589856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007528881913467751,"score_gpt":0.2812913997290715,"score_spread":0.2737625178156037,"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."}}