{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003160552,0.0002317895,0.0005287846,0.0000580706,0.0002055894,0.00003361935,0.0002006977,0.0001883469,0.0003685913],"category_scores_gemma":[0.0002245202,0.0002148818,0.0001015366,0.0001047143,0.0001475117,0.0001196251,0.0001804729,0.0002198658,0.00002868395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004499072,"about_ca_system_score_gemma":0.0002761307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170593,"about_ca_topic_score_gemma":0.00001397409,"domain_scores_codex":[0.9983908,0.0002003608,0.0004923369,0.0004241486,0.00004587332,0.0004465112],"domain_scores_gemma":[0.9989229,0.000173943,0.000237298,0.0004273985,0.0002060575,0.00003242915],"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":[0.002726197,0.0002669553,0.0003213907,0.0005734768,0.0002461467,0.000008574193,0.001843564,0.00000707472,0.990097,0.0009323332,0.0004654315,0.002511847],"study_design_scores_gemma":[0.01065064,0.000477185,0.0005669278,0.0002755134,0.00001529689,0.00001434057,0.0005023323,0.00001540425,0.861514,0.001138759,0.1245652,0.0002643399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1022393,0.000037074,0.001255255,0.00002155605,0.00007518703,0.8933692,0.001926724,0.00009474267,0.0009809949],"genre_scores_gemma":[0.006706588,7.037299e-7,0.00874534,0.00006324543,0.00004532236,0.9834553,0.0000986056,0.00003727494,0.0008476099],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.128583,"threshold_uncertainty_score":0.8762627,"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."}}