{"id":"W4256260560","doi":"10.1515/iupac.88.1362","title":"Spinal Column","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":[],"category_scores_codex":[0.001320637,0.00122201,0.001703141,0.00470913,0.0008464145,0.004572221,0.002217202,0.001563017,0.5346693],"category_scores_gemma":[0.02259614,0.0006009913,0.001348728,0.01003557,0.0004882905,0.003451586,0.00217757,0.001739343,0.4561435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632873,"about_ca_system_score_gemma":0.003947962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01404764,"about_ca_topic_score_gemma":0.02076511,"domain_scores_codex":[0.9980366,0.0003228458,0.0004655974,0.0005992608,0.0003628669,0.0002129666],"domain_scores_gemma":[0.9893095,0.00337559,0.001220469,0.001697692,0.003625984,0.0007706377],"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":[0.00003209182,0.00000437714,0.0003469395,0.0008318104,0.00001182229,0.000009947585,0.00001075086,0.00002875101,0.00003010099,0.0004135058,0.9939399,0.004339988],"study_design_scores_gemma":[0.00005670997,0.000007166867,0.001606915,0.0007422025,0.00001104493,0.00003779818,0.00004371938,0.00004617264,0.0000619274,0.001012331,0.9963625,0.0000115576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004658298,0.0001665827,0.0000774618,0.000279423,0.0001409727,0.00002842153,0.9944132,0.0002472971,0.004600154],"genre_scores_gemma":[0.0004939006,0.0004549028,0.0004339941,0.0005980743,0.000101042,0.0001782558,0.9904621,0.0002604748,0.007017217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5346693,"threshold_uncertainty_score":0.6637378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739753762700797,"score_gpt":0.3918709099095775,"score_spread":0.3644733722825695,"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."}}