{"id":"W4246733317","doi":"10.1515/iupac.88.1117","title":"Neuropore","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Academic Writing and Publishing","field":"Arts and Humanities","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":[],"consensus_categories":[],"category_scores_codex":[0.001224221,0.001638661,0.001389962,0.004255149,0.0008889697,0.003405655,0.002373041,0.001609432,0.1518871],"category_scores_gemma":[0.01004603,0.000596888,0.001429423,0.006374359,0.0004117317,0.002840479,0.003152486,0.00176525,0.2154528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155401,"about_ca_system_score_gemma":0.002579273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158497,"about_ca_topic_score_gemma":0.03009348,"domain_scores_codex":[0.9984998,0.0002998035,0.0002847617,0.0004464093,0.0002852803,0.0001840074],"domain_scores_gemma":[0.9967129,0.0009792711,0.000441457,0.0007747323,0.0008056303,0.0002860515],"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":[0.00007618559,0.00001397229,0.001091486,0.001643797,0.00003117454,0.00002673608,0.00004329159,0.0001149946,0.00009186889,0.0008757531,0.9897399,0.006250782],"study_design_scores_gemma":[0.0000767717,0.00001214753,0.002357951,0.0006076142,0.00001925594,0.00006279772,0.00007701853,0.0001202816,0.000119554,0.001193017,0.9953339,0.00001970247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001001998,0.0001660685,0.0001158335,0.00009900425,0.00004692534,0.00002057885,0.9971276,0.0003572765,0.001966589],"genre_scores_gemma":[0.0003253756,0.0001735692,0.0004004653,0.0001513791,0.00001676887,0.0001282911,0.9972256,0.000112511,0.001466053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1518871,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750809777768627,"score_gpt":0.408581117845226,"score_spread":0.3710730200675398,"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."}}