{"id":"W4237237527","doi":"10.1515/iupac.87.0374","title":"Microglial Cell","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Neuroscience; Psychology; Engineering ethics; Chemistry; Linguistics; Engineering; Philosophy; Data mining; Organic chemistry","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":[0.0007109041,0.001351183,0.001351089,0.003130069,0.001060249,0.002847672,0.001823204,0.001655236,0.08249569],"category_scores_gemma":[0.004721743,0.0005864981,0.001547192,0.003946775,0.0003010265,0.001320205,0.001357077,0.001549443,0.09136035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307475,"about_ca_system_score_gemma":0.002320848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382015,"about_ca_topic_score_gemma":0.03564009,"domain_scores_codex":[0.9989974,0.0001112963,0.0001867156,0.0003075426,0.0002295058,0.0001675236],"domain_scores_gemma":[0.9982094,0.0003908154,0.0003089344,0.0004431553,0.0005042198,0.0001436221],"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":[0.000233978,0.00002457334,0.003770423,0.002275392,0.00006169465,0.00005716558,0.00003740671,0.0002253915,0.0003685963,0.0006690677,0.9832066,0.009069677],"study_design_scores_gemma":[0.0002428392,0.00003387459,0.009776005,0.0009313124,0.00009901622,0.000259798,0.0001105781,0.0003063613,0.000645601,0.001633589,0.9859288,0.00003217184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003882377,0.0005193003,0.0001131222,0.0001278241,0.00007149874,0.00002800353,0.9958004,0.000362253,0.002589263],"genre_scores_gemma":[0.001388459,0.0003905479,0.0005460106,0.0001956622,0.0000203151,0.000139466,0.9951858,0.00006741023,0.002066381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08249569,"threshold_uncertainty_score":0.2759756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07410343591766018,"score_gpt":0.4815613947664093,"score_spread":0.4074579588487491,"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."}}