{"id":"W1810506172","doi":"10.3791/52411","title":"The <em>In Ovo </em>Chick Chorioallantoic Membrane (CAM) Assay as an Efficient Xenograft Model of Hepatocellular Carcinoma","year":2015,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Institute of Dental and Craniofacial Research; National Cancer Institute; National Institutes of Health; Howard Hughes Medical Institute","keywords":"Chorioallantoic membrane; Angiogenesis; In ovo; Metastasis; Extracellular matrix; Hepatocellular carcinoma; Laminin; In vivo; Cancer research; Basement membrane; Medicine; Pathology; Biology; Cancer; Internal medicine; Cell biology; Embryo","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":[0.002783026,0.0004506463,0.0009761364,0.0003538099,0.0002206481,0.00006304713,0.00106455,0.0004271349,0.000219243],"category_scores_gemma":[0.0002229262,0.000333249,0.0003469732,0.0002939544,0.0003213996,0.0001949499,0.0002307435,0.0006697418,0.0001027651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037749,"about_ca_system_score_gemma":0.0005652949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009204447,"about_ca_topic_score_gemma":0.00002108983,"domain_scores_codex":[0.9957073,0.001067208,0.001589875,0.0003910582,0.0004767741,0.0007677357],"domain_scores_gemma":[0.997257,0.0001886922,0.001150051,0.000723112,0.0005274214,0.0001537304],"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":[0.002851221,0.001151448,0.001304093,0.00002609316,0.0003908359,0.00005032553,0.009278443,0.001768526,0.9809207,0.0004738422,0.0013494,0.0004351056],"study_design_scores_gemma":[0.01203949,0.001408514,0.0003494111,0.0001779527,0.0001239029,0.000267001,0.002870471,0.007664644,0.9640974,0.0002211793,0.01030805,0.0004719616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657373,0.0300764,0.0003099545,0.00006207107,0.002437063,0.0004338761,0.00001236126,0.00002322968,0.0009077632],"genre_scores_gemma":[0.9973669,0.0004548111,0.000451527,0.0001155212,0.0001009124,0.0000259556,0.00002190033,0.00006949896,0.001392987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0316296,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354408959841617,"score_gpt":0.3417822981658462,"score_spread":0.3082382085674301,"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."}}