{"id":"W6902989624","doi":"10.7939/dvn/10903","title":"Immunological Profiling","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Immune system; Disease; Pregnancy; Immunity; Antibody; Profiling (computer programming)","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":[0.0008308499,0.001500775,0.001299788,0.001777352,0.0006525674,0.001875089,0.001359129,0.001576394,0.01552303],"category_scores_gemma":[0.004611656,0.0003463667,0.001491821,0.001855325,0.0002394046,0.0009327639,0.00140795,0.001351059,0.02598805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369344,"about_ca_system_score_gemma":0.001056104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008165651,"about_ca_topic_score_gemma":0.01978303,"domain_scores_codex":[0.9991091,0.0001190497,0.0001058139,0.0003349995,0.0001792552,0.0001517746],"domain_scores_gemma":[0.9987934,0.0002070157,0.0001771478,0.0003186852,0.0003415985,0.0001620926],"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":[0.001375999,0.0001935419,0.04172458,0.002195603,0.000337958,0.00023432,0.00009468268,0.001151034,0.003030532,0.001191162,0.8959584,0.05251233],"study_design_scores_gemma":[0.0003458546,0.0002064391,0.06922904,0.0007956138,0.0003050356,0.001184944,0.0001814083,0.001862453,0.002335361,0.003040149,0.9204355,0.00007830862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007245808,0.002231512,0.000969636,0.0004226421,0.0002385809,0.00008972727,0.9824662,0.0008955741,0.00544025],"genre_scores_gemma":[0.007592117,0.0006278837,0.001463301,0.0004680839,0.00004932133,0.0001691029,0.987474,0.00006595135,0.002090248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01552303,"threshold_uncertainty_score":0.05192977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104117131851302,"score_gpt":0.2923218754375712,"score_spread":0.2612807041190581,"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."}}