{"id":"W4242507617","doi":"10.1515/iupac.84.0737","title":"Immunomagnetic Separation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Immunology; Medicine; Immune system; Philosophy; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002122361,0.002113659,0.002071122,0.004552542,0.001284744,0.003912695,0.003410551,0.002275626,0.04952382],"category_scores_gemma":[0.008423068,0.0008475767,0.001689567,0.006591773,0.0004990021,0.002043773,0.002386737,0.003024065,0.0730432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201262,"about_ca_system_score_gemma":0.003643168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121496,"about_ca_topic_score_gemma":0.02396362,"domain_scores_codex":[0.9976711,0.0003537966,0.0004046652,0.0007596962,0.000577501,0.0002332165],"domain_scores_gemma":[0.9966846,0.001045861,0.0004808451,0.0008034836,0.0007630524,0.0002222346],"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":[0.0002847173,0.00006352186,0.002645014,0.003460998,0.0001248528,0.00005229798,0.00003368567,0.0005204597,0.0009187285,0.001371533,0.9776618,0.01286239],"study_design_scores_gemma":[0.0002269199,0.00002862138,0.005431275,0.0004605001,0.00006439098,0.0001090645,0.00004699735,0.0003792939,0.001307654,0.002189043,0.9897236,0.00003279592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003456648,0.0005343656,0.0004175482,0.0001490506,0.00007364016,0.00004354152,0.9958566,0.0007145632,0.00186501],"genre_scores_gemma":[0.0006178363,0.0003546393,0.001076589,0.0001487424,0.00001408881,0.0001639087,0.9964169,0.00009896983,0.00110818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04952382,"threshold_uncertainty_score":0.1656737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101100575428365,"score_gpt":0.3855531966953238,"score_spread":0.3754431391524873,"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."}}