{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002965684,0.000247086,0.0002766016,0.0004879541,0.0002313447,0.0005778375,0.0003374963,0.0004093465,0.0006775912],"category_scores_gemma":[0.0002253111,0.0001540054,0.0001463146,0.0002707836,0.000251377,0.0003211342,0.0003505418,0.0006711384,0.0002478394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259581,"about_ca_system_score_gemma":0.0003725267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735466,"about_ca_topic_score_gemma":0.00309447,"domain_scores_codex":[0.9997919,0.00004172214,0.000009935691,0.0000559053,0.00005736685,0.0000432643],"domain_scores_gemma":[0.999864,0.00004654852,0.00002979937,0.00001598624,0.00002687158,0.00001688756],"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":[0.0000179584,0.00001608556,0.0004908768,0.00002546369,0.00000315072,0.0000291082,0.00003374881,0.0003064046,0.991461,0.0003316637,0.0000606247,0.007223843],"study_design_scores_gemma":[0.00001205738,0.000325607,0.007801637,0.00001757289,0.00002589665,0.0003625181,0.0001225946,0.02608361,0.9560108,0.000629102,0.008580721,0.00002793094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6257264,0.005786471,0.3622209,0.00049497,0.0000604146,0.0001696415,0.0004730025,0.0009348638,0.00413322],"genre_scores_gemma":[0.7287997,0.005516503,0.2603434,0.0001926183,0.00004871697,0.0002476986,0.000302627,0.0000598905,0.004488801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735466,"threshold_uncertainty_score":0.005439162,"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."}}