{"id":"W4233876748","doi":"10.1515/iupac.84.0775","title":"Interclonal Competition","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; 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":[0.0023825,0.002484983,0.00162377,0.004333016,0.00182041,0.0043122,0.004578697,0.002762795,0.07409458],"category_scores_gemma":[0.01561957,0.0008383727,0.002830382,0.006723636,0.0007704763,0.003348162,0.003694234,0.002948721,0.09120701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569829,"about_ca_system_score_gemma":0.004745661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02677495,"about_ca_topic_score_gemma":0.05687539,"domain_scores_codex":[0.9964728,0.0007017191,0.0004466611,0.001116395,0.0007463281,0.0005160748],"domain_scores_gemma":[0.9938824,0.001911817,0.0005181567,0.001803988,0.001363478,0.0005201524],"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":[0.0001683815,0.00004974402,0.002875421,0.001107434,0.00007279843,0.0000424022,0.00004315357,0.0007568168,0.0001266704,0.002119887,0.9870429,0.005594498],"study_design_scores_gemma":[0.0002922174,0.00003234121,0.004986242,0.0005330172,0.00004282264,0.0001301175,0.0001239903,0.001150808,0.0003664504,0.00384782,0.9884529,0.00004139535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004108857,0.0002228384,0.0002064587,0.0001795305,0.00007485322,0.00003085797,0.9959955,0.0006587027,0.002220259],"genre_scores_gemma":[0.0007539301,0.0001118716,0.0005305704,0.0001266397,0.00001318702,0.00009542605,0.9970846,0.0001061407,0.001177734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07409458,"threshold_uncertainty_score":0.247871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102679269412481,"score_gpt":0.3667204382598775,"score_spread":0.3556936455657527,"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."}}