{"id":"W4251839731","doi":"10.1515/iupac.84.1072","title":"Prolactin","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":[0.001535801,0.001331869,0.001124322,0.002925765,0.0009844608,0.003524657,0.002373759,0.001669132,0.2399221],"category_scores_gemma":[0.01348266,0.0005714801,0.001418055,0.005096766,0.0003670246,0.002555384,0.002011967,0.001791448,0.2586676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830522,"about_ca_system_score_gemma":0.003404034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640751,"about_ca_topic_score_gemma":0.0287063,"domain_scores_codex":[0.9975644,0.0003887886,0.0003744671,0.0008504928,0.000543473,0.0002784116],"domain_scores_gemma":[0.9943346,0.001402932,0.0004605391,0.001415102,0.002002354,0.0003845106],"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":[0.0001355814,0.00002139721,0.001583417,0.0006480959,0.00002471038,0.00001980888,0.00002352829,0.0001189123,0.00007085603,0.0009716864,0.9877926,0.008589401],"study_design_scores_gemma":[0.0001052222,0.00001368259,0.002837189,0.0003740565,0.0000168472,0.00004438913,0.00008157879,0.0001346032,0.0001673272,0.001253554,0.9949548,0.00001676459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001735676,0.00009297409,0.0001412237,0.0001623272,0.00006613247,0.00003491649,0.9949101,0.0004069533,0.004011843],"genre_scores_gemma":[0.0007140668,0.0001242411,0.0004965217,0.0002633797,0.00002225875,0.0001540363,0.9935314,0.0001436032,0.004550568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2399221,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138023566896016,"score_gpt":0.3744735492858039,"score_spread":0.3630933136168437,"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."}}