{"id":"W4243000738","doi":"10.1515/iupac.80.0217","title":"Methods for Identifying Lymphocyte Subpopulations","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Lymphocyte; Immunology; Chemistry; Biology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006623802,0.0003929904,0.0009328121,0.0003144403,0.0001886899,0.00008290063,0.0002055279,0.0003206311,0.001755461],"category_scores_gemma":[0.001181138,0.0002955512,0.000419003,0.0001479794,0.00007020274,0.000115127,0.0001096113,0.0002271906,0.000001704996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006270159,"about_ca_system_score_gemma":0.001044439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430375,"about_ca_topic_score_gemma":0.0006570484,"domain_scores_codex":[0.9978619,0.00008516203,0.0006550197,0.0004459381,0.0005408744,0.0004110972],"domain_scores_gemma":[0.9977241,0.0003224846,0.000306433,0.0007833578,0.0006680053,0.0001956637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001854879,0.0000903242,0.000008341768,0.0005464338,0.0002490519,0.00002890657,0.00001410356,2.940517e-7,0.00009217286,0.00003008884,0.9440076,0.05474725],"study_design_scores_gemma":[0.002930557,0.000163816,0.0002013006,0.00125699,0.0005035744,0.00007182519,0.0000305237,0.00003966579,0.0001120972,0.0004096542,0.9939409,0.0003390241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004248615,0.003179873,0.0251286,0.001401645,0.0011643,0.0008081654,0.9681545,0.00008732737,0.00003307937],"genre_scores_gemma":[0.00001032363,0.002040992,0.009125903,0.0004940609,0.001209598,0.00008639891,0.9858329,0.00005901899,0.001140827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05440823,"threshold_uncertainty_score":0.9999496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05275616830348807,"score_gpt":0.5131596560545795,"score_spread":0.4604034877510914,"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."}}