{"id":"W3180071894","doi":"10.1016/j.xpro.2021.100627","title":"Optimized protocol for immunophenotyping of melanoma and tumor-bearing skin from mouse","year":2021,"lang":"en","type":"article","venue":"STAR Protocols","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"Lady Davis Institute for Medical Research; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Foundation for Innovation; McGill University","keywords":"Immunophenotyping; Immune system; Flow cytometry; Melanoma; Innate lymphoid cell; Innate immune system; Biology; Immunology; Cell; Cancer research","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":[0.0009554164,0.00127911,0.0005456502,0.001572671,0.0007827672,0.000442563,0.0008661316,0.0008537442,0.01177983],"category_scores_gemma":[0.000390024,0.0006829245,0.0006663088,0.0006012778,0.0003969545,0.0004074381,0.0005241977,0.002666805,0.006631667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602075,"about_ca_system_score_gemma":0.0005695957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005859687,"about_ca_topic_score_gemma":0.002227778,"domain_scores_codex":[0.9992053,0.0001203982,0.00009503389,0.0002333467,0.0002130347,0.0001329217],"domain_scores_gemma":[0.9994407,0.00009047674,0.00007542316,0.0001353265,0.0001606248,0.00009745768],"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":[0.0001087124,0.00007045994,0.0001629971,0.000135484,0.00001347091,0.0001001828,0.00006133119,0.0001377308,0.9925792,0.0006789868,0.001344002,0.004607468],"study_design_scores_gemma":[0.0001067589,0.0005772956,0.00465972,0.0001281906,0.0001030542,0.0009853687,0.00006951522,0.002509529,0.8851168,0.001043221,0.1046441,0.00005647134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.1467594,0.003786793,0.7871668,0.0008052134,0.0009108644,0.01082966,0.01679156,0.008423775,0.02452589],"genre_scores_gemma":[0.144551,0.005948662,0.712913,0.001037251,0.0002214021,0.02809898,0.03521174,0.002172265,0.06984571],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01177983,"threshold_uncertainty_score":0.03940743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03176773842250274,"score_gpt":0.2993905477583936,"score_spread":0.2676228093358909,"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."}}