{"id":"W4232744048","doi":"10.1515/iupac.87.0272","title":"Glioma","year":2016,"lang":"it","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006985808,0.001093069,0.00111322,0.002955305,0.0007895394,0.002891368,0.002067739,0.001658956,0.1670288],"category_scores_gemma":[0.007805793,0.0003859549,0.001430182,0.004963947,0.000283488,0.001948192,0.001612948,0.001396585,0.1724039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549174,"about_ca_system_score_gemma":0.002269027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752619,"about_ca_topic_score_gemma":0.02988868,"domain_scores_codex":[0.9987388,0.0001536206,0.0002343271,0.000405668,0.0002792963,0.0001882932],"domain_scores_gemma":[0.9975351,0.00054118,0.0003305391,0.0005871438,0.0008212243,0.0001847167],"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":[0.0001864327,0.00001730574,0.002145708,0.00127742,0.00003701794,0.00005297587,0.00002462761,0.0001723894,0.0001180161,0.001093582,0.9785185,0.01635606],"study_design_scores_gemma":[0.0001362286,0.00002113771,0.004448134,0.0006654434,0.00003966788,0.000196307,0.00007772076,0.0001866623,0.0002277245,0.001723857,0.9922596,0.00001756768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003532761,0.0004261707,0.0001785168,0.0002490587,0.00009128797,0.00004715677,0.9903587,0.000531869,0.007764067],"genre_scores_gemma":[0.001282783,0.0004057775,0.0004953419,0.0004590834,0.00003213287,0.0001095334,0.9925526,0.0001060638,0.004556715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1670288,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08194864411247095,"score_gpt":0.4882024869821278,"score_spread":0.4062538428696569,"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."}}