{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003964404,0.0002563868,0.0002828992,0.00005583366,0.00009065396,0.00006666598,0.0001359754,0.0001034171,0.0000300903],"category_scores_gemma":[0.0001196391,0.0002835924,0.00009573605,0.0001610453,0.00009068899,0.00002467523,0.0002885147,0.0002599162,9.357716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001261487,"about_ca_system_score_gemma":0.0003029057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006926166,"about_ca_topic_score_gemma":0.00001551915,"domain_scores_codex":[0.9978381,0.00007255752,0.0005999972,0.0007656689,0.0002122811,0.000511424],"domain_scores_gemma":[0.998979,0.00001304333,0.000259091,0.0004558535,0.0001777389,0.000115313],"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":[0.00001989183,0.00006882631,0.01646018,0.00003603113,0.00001357076,0.002547867,0.00005462218,0.002613877,0.9768849,0.000003352187,0.0002186061,0.001078241],"study_design_scores_gemma":[0.0002061532,0.00001171753,0.0005713914,0.0001143988,0.00002504981,0.001579463,0.0002424696,0.0006855123,0.9958088,0.00007149174,0.0003569304,0.0003266452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675154,0.009095922,0.1221322,0.0001872551,0.0003567556,0.0002818611,0.00002776398,0.00005652032,0.0003463085],"genre_scores_gemma":[0.7461096,0.000268741,0.2531391,0.000136483,0.0001314669,0.00002402989,0.00005966415,0.00005031492,0.00008057019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310069,"threshold_uncertainty_score":0.9999616,"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."}}