{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001471253,0.001396902,0.001366322,0.005337507,0.001987859,0.01247765,0.002027512,0.003308245,0.8804368],"category_scores_gemma":[0.007069346,0.0006494196,0.0009013781,0.005599834,0.0009330048,0.005821637,0.002776422,0.002112876,0.8129942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789836,"about_ca_system_score_gemma":0.002729709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708987,"about_ca_topic_score_gemma":0.007137782,"domain_scores_codex":[0.9988552,0.00014694,0.00007038904,0.0001705996,0.0006039893,0.0001528803],"domain_scores_gemma":[0.996206,0.0007119525,0.0001561511,0.0009700474,0.00125218,0.0007036398],"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":[0.00002616561,0.00004663452,0.00009300067,0.00009740597,0.00000392655,0.00002486344,0.00001672348,0.00004828742,0.0001849409,0.002477829,0.9600393,0.0369409],"study_design_scores_gemma":[0.000008275097,0.000009650591,0.000203599,0.00004545153,0.000002619422,0.00001814169,0.00002703867,0.0001541845,0.0001871797,0.001349723,0.9979891,0.000005094242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006227792,0.0006304146,0.002155084,0.004554231,0.01021988,0.000193863,0.02037499,0.004846178,0.9564026],"genre_scores_gemma":[0.001518101,0.0004331421,0.0003942732,0.000767523,0.0007091086,0.00004129747,0.008923764,0.001064157,0.9861486],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1195632,"threshold_uncertainty_score":0.1705424,"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."}}