{"id":"W4252205068","doi":"10.1515/iupac.88.1367","title":"Stalk","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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; Philosophy; Data mining","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":[0.001243565,0.001445276,0.001295687,0.004601589,0.001118468,0.004653438,0.002428996,0.001695062,0.240856],"category_scores_gemma":[0.01280126,0.0007456366,0.001476049,0.008298577,0.0004113892,0.00335647,0.002944894,0.001771891,0.3233904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706726,"about_ca_system_score_gemma":0.003104038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226644,"about_ca_topic_score_gemma":0.03923519,"domain_scores_codex":[0.9981261,0.0003338252,0.0003920801,0.0005225765,0.0004047575,0.0002207176],"domain_scores_gemma":[0.9944711,0.001417364,0.0005751888,0.001385876,0.001809193,0.0003412932],"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":[0.00006197942,0.000008172327,0.0007438675,0.0008172527,0.00001677891,0.00001219486,0.00002722203,0.00008700787,0.00004877884,0.0009214181,0.991452,0.005803297],"study_design_scores_gemma":[0.00006459145,0.000008715239,0.001725117,0.0004925268,0.00001190914,0.00003395602,0.00006876452,0.0001044255,0.0001036896,0.00111187,0.9962581,0.00001624523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007979607,0.0000983174,0.00009969544,0.000115818,0.00003916059,0.00001999667,0.996276,0.0004026119,0.002868702],"genre_scores_gemma":[0.0003349488,0.0001435654,0.0002974838,0.000138482,0.00001469208,0.0000810321,0.9964877,0.0001595039,0.002342585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.759144,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435571543728382,"score_gpt":0.4691715065958998,"score_spread":0.444815791158616,"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."}}