{"id":"W4231450750","doi":"10.1002/tox.22479","title":"ISSUE INFORMATION ‐ TOC","year":2018,"lang":"en","type":"paratext","venue":"Environmental Toxicology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001278647,0.0002714678,0.0003264689,0.0001402816,0.0001213019,0.00009893088,0.001197348,0.0005117693,0.01094253],"category_scores_gemma":[0.00001773918,0.0002541587,0.00008502771,0.00007159428,0.0002444026,0.0006211813,0.0007639592,0.0002523156,0.2087191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954242,"about_ca_system_score_gemma":0.00005034785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008723881,"about_ca_topic_score_gemma":0.000003877655,"domain_scores_codex":[0.9985554,0.00008467681,0.0003353452,0.000360196,0.0002196042,0.0004448342],"domain_scores_gemma":[0.9989595,0.00006742455,0.0002188666,0.0006632366,0.000004596663,0.00008631624],"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":[0.000006325378,0.00005608226,0.00002698782,0.00001743953,0.00003039231,0.000005992085,0.0004071166,0.0000123235,0.0003086446,0.0003935371,0.9776845,0.02105064],"study_design_scores_gemma":[0.0002278222,0.0003340666,0.0008098522,0.000008928448,0.000007481089,0.00003611053,0.00005569877,0.0002987961,0.002410949,0.0001843467,0.9953465,0.0002794093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007575526,0.002251497,0.1325974,0.003843766,0.0465113,0.001341921,0.0001651975,0.0003443042,0.8053691],"genre_scores_gemma":[0.09694499,0.002712129,0.0485574,0.0229726,0.004950146,0.0004056838,0.001428365,0.00008919431,0.8219395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1977766,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009130611659918823,"score_gpt":0.235545445781506,"score_spread":0.2264148341215872,"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."}}