{"id":"W4249083840","doi":"10.1515/iupac.87.0689","title":"Tumor","year":2016,"lang":"en","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003693199,0.0004459449,0.0005458741,0.0001485387,0.0001209902,0.00005725295,0.0005533959,0.0001556312,0.005948765],"category_scores_gemma":[0.0008944675,0.0003170251,0.0001737756,0.0001006318,0.0001627879,0.00008210342,0.0002636385,0.0004776243,0.00003110588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251896,"about_ca_system_score_gemma":0.000346815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496392,"about_ca_topic_score_gemma":0.00006175361,"domain_scores_codex":[0.9976999,0.0001043949,0.0004047155,0.0005681717,0.0007869547,0.0004358735],"domain_scores_gemma":[0.998368,0.0001935701,0.0003125093,0.0006877385,0.0002858906,0.000152273],"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":[0.0004228881,0.0001382682,0.00001032252,0.0001071453,0.00007615861,0.001088583,0.000006654192,5.766044e-8,0.00004111718,0.0000102755,0.9956881,0.00241038],"study_design_scores_gemma":[0.000516292,0.00127567,0.00008191368,0.0007379743,0.00005679343,0.000204161,0.00001748561,0.000003580406,0.000008680348,0.0002122598,0.9964402,0.000444938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001462016,0.0004453263,0.00005148209,0.0001797942,0.000653578,0.0001560383,0.9965607,0.0001940737,0.0002969972],"genre_scores_gemma":[0.0002903466,0.0001362878,0.000107904,0.0002650297,0.002115811,0.00001204469,0.9959217,0.00005691284,0.001094021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005917659,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09223899685494827,"score_gpt":0.5025830674601174,"score_spread":0.4103440706051691,"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."}}