{"id":"W2810057285","doi":"10.3390/cells7070069","title":"Tracking Cell Recruitment and Behavior within the Tumor Microenvironment Using Advanced Intravital Imaging Approaches","year":2018,"lang":"en","type":"article","venue":"Cells","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute","keywords":"Tumor microenvironment; Intravital microscopy; Confocal; Flow cytometry; Confocal microscopy; Cell; Cancer cell; Tumor cells; Pathology; Biology; Cell biology; Cancer; Medicine; Cancer research; Immunology; In vivo; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002869587,0.0001636381,0.0001722489,0.00006116999,0.0001803378,0.0000544209,0.0001118755,0.00002915243,0.0001094711],"category_scores_gemma":[0.00001303256,0.0001162953,0.00004990035,0.00009024717,0.0003799138,0.00006018957,0.0001518778,0.0002418058,0.00005298225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133586,"about_ca_system_score_gemma":0.00004624594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001465294,"about_ca_topic_score_gemma":0.000002382064,"domain_scores_codex":[0.9987319,0.00006387314,0.0002265092,0.0003625913,0.0002982221,0.0003168685],"domain_scores_gemma":[0.9993529,0.00004185618,0.00008167938,0.0003455807,0.00002771782,0.0001502482],"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":[0.00005364844,0.0001897281,0.002735477,0.00004962808,0.000007427603,0.00009558672,0.0008335004,0.000008099891,0.9752121,0.000004163496,0.00005354165,0.02075708],"study_design_scores_gemma":[0.0008307671,0.000172514,0.007538797,0.00006340334,0.0001122921,0.0001459869,0.001633715,0.00219685,0.9856091,0.000009133453,0.00154402,0.0001434309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967802,0.0007537606,0.0002585404,0.0001824958,0.000119517,0.001222231,0.000003439688,0.00001954965,0.0006602422],"genre_scores_gemma":[0.9917043,0.00002618829,0.00718886,0.0002430502,0.0001263148,0.00005709025,0.00000486452,0.00003931251,0.0006100109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02061365,"threshold_uncertainty_score":0.4742386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08446833277082634,"score_gpt":0.3141867900463918,"score_spread":0.2297184572755654,"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."}}