{"id":"W4232186823","doi":"10.1515/iupac.87.0600","title":"Sensory Neuron","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Cognitive science; Neuroscience; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0005285083,0.001280848,0.001143595,0.002552323,0.0007221712,0.002678033,0.001968446,0.001432149,0.1263466],"category_scores_gemma":[0.005203599,0.0004072853,0.00147071,0.003990555,0.0002679573,0.001425225,0.001835825,0.001286694,0.1546262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130614,"about_ca_system_score_gemma":0.002376214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01442773,"about_ca_topic_score_gemma":0.03110319,"domain_scores_codex":[0.9992775,0.00007341766,0.0001396614,0.0002336825,0.0001678148,0.0001078712],"domain_scores_gemma":[0.9984074,0.0003554521,0.0001691651,0.0004254408,0.0005133245,0.0001292999],"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":[0.0002069329,0.00002417513,0.003012943,0.002224906,0.00007239476,0.0000672373,0.00002583852,0.0004774074,0.0003109006,0.0009292176,0.9737008,0.01894712],"study_design_scores_gemma":[0.000136247,0.00003259581,0.006841595,0.0009693355,0.00006725997,0.0001957904,0.00007632768,0.000466546,0.000425027,0.002409439,0.9883494,0.00003029959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002678708,0.0003689352,0.0001597247,0.00009599487,0.00006969231,0.00002364732,0.9953656,0.000352711,0.003295883],"genre_scores_gemma":[0.0009022797,0.000401051,0.0004919813,0.0001556132,0.00001415262,0.00008414808,0.9954255,0.0000494431,0.002475814],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8736534,"threshold_uncertainty_score":0.4226713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274328405987535,"score_gpt":0.5710851382932794,"score_spread":0.443652297694526,"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."}}