{"id":"W4243252447","doi":"10.1515/iupac.84.0501","title":"Differential Splicing","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; 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":[0.001705653,0.002085298,0.001621476,0.004689621,0.001745805,0.003495909,0.003215871,0.002401395,0.07875471],"category_scores_gemma":[0.01025479,0.0007689177,0.002580488,0.006528206,0.0007238535,0.00236323,0.002631692,0.002429856,0.1112599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705737,"about_ca_system_score_gemma":0.003470483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061355,"about_ca_topic_score_gemma":0.02542891,"domain_scores_codex":[0.9972178,0.0003699107,0.0004540565,0.001061036,0.0005474621,0.0003497525],"domain_scores_gemma":[0.9962274,0.001143451,0.0003586396,0.001118887,0.0009253789,0.0002263137],"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":[0.0003214393,0.00004494582,0.004798438,0.002100038,0.00008972038,0.000152474,0.0000756323,0.0005028561,0.0006716744,0.002423698,0.9764074,0.01241163],"study_design_scores_gemma":[0.0001817266,0.00002850919,0.006214047,0.0005516703,0.00006112779,0.0003082536,0.0001139318,0.0004513498,0.0008019063,0.004105339,0.9871461,0.00003609623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005270434,0.0003602837,0.0003216999,0.0001387999,0.00008327847,0.00002742534,0.9953812,0.000743342,0.002416866],"genre_scores_gemma":[0.0008297017,0.0002030381,0.0007614403,0.0001285579,0.00001174946,0.00009164101,0.9967804,0.0001148454,0.0010786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07875471,"threshold_uncertainty_score":0.2634608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060462735022882,"score_gpt":0.3644073379886777,"score_spread":0.3538027106384489,"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."}}